Jobs

We’re building the next generation of improvements in making Apple Intelligence more aware, more personal, and even more deeply integrated with the ecosystem of Apple products that millions of users know and love today. We’re enabling our intelligent systems with access to computer vision, additional sensing, and enhanced reasoning capabilities, all while upholding the strong privacy values our users can trust. We’re looking for software engineers to build user experiences that will harness cutting-edge sensing and AI technology to bring new and delightful experiences to life.

*Description**
In this role, you will work across the stack, from low-level system software and frameworks to end-user experiences. Your work will be highly cross-functional, requiring collaboration with design, algorithms, software, services, privacy, security, performance, and hardware teams across Apple to define requirements and build end to end user facing features.
You will write software using Swift, evaluate AI/ML algorithms, debug complex cross-device interactions, and contribute to a culture of shipping high-quality production code. You will also need to apply excellent UX intuition to identify and shape feature opportunities, iterate with design, and define technical requirements that drive development.

*Preferred Qualifications**
Shipping customer-facing features or products to production at scale
Developing for Apple platforms using Apple system frameworks like SwiftUI and ARKit

Building & shipping features using LLMs and/or Machine Learning algorithms, including on-device inference, data-driven validation, requirement definition, and collaboration with algorithm teams

Processing sensor data (e.g. image/video, audio, motion) and/or developing AR applications

Developing & validating personalization features, including working with sensitive data such as conversation transcripts or Health data

Developing under strict privacy and security constraints, including techniques

At Gusto, were on a mission to grow the small business economy. We handle the hard stuff—like payroll, health insurance, 401(k)s, and HR—so owners can focus on their craft and customers. With teams in Denver, San Francisco, and New York, we’re proud to support more than 400,000 small businesses across the country, and we’re building a workplace that represents and celebrates the customers we serve. Learn more about our Total Rewards philosophy.

About the role

Gusto’s AI/ML Eng team leverages our rich dataset to guide product direction and decision-making by building the right solutions at scale. We’re looking for a senior technical leader (individual contributor) who will design robust AI/ML systems and services through close partnership with seasoned leaders across Engineering, Product, Design, Data Science, Marketing, and Customer Excellence. This means you will also define the strategy along with shipping impactful models and services to evolve our AI/ML capabilities and practices.

We have several open roles across two embedded areas:

Unified Service Platform optimizes our customer experience, creates personalized engagement moments, and drives automated or AI enhanced assistance. We develop AI tools and platform components (ex. embedding algorithms) to improve performance and customer satisfaction.Growth builds AI/ML-powered experiences that drive relevant, timely product adoption. Our team enables contextual customer interactions through growth-oriented capabilities like propensity modeling and recommendations.Here’s what you’ll do day-to-day

Design and develop scalable, production-grade AI/ML models and services for complex business and customer experience problems.Lead technical strategy and architecture for key AI/ML domains, including model lifecycle, observability, safety, and evaluation.Collaborate cross-functionally to identify high-leverage AI/ML opportunities, translate them into actionable roadmaps, and deliver measurable outcomes.Build, harden,

AI,C#,ASP.NET 4.5,Java,LLM,Python,Vector,Semantic Kernel, AI Foundry ,LLMs (Azure OpenAI, OpenAI, Anthropic,MicroServices,Azure DevOps,Docker,Kubernetes

Role Descriptions: 8 years of Strong proficiency in Python| C| or Java Hands-on experience in building RAG-based systems and implement RAG pipelines using embeddings| vector search| and LLMsSolid experience with Vector Databases and embedding-based search e.g. Azure AI SearchPractical experience with Semantic Kernel| AI Foundry| Lang Chain| LlamaIndex| or similar frameworks| Azure ServicesExperience working with LLMs (Azure OpenAI| OpenAI| Anthropic| or equivalent)Strong understanding of REST APIs| microservices| and cloud-native architecturesExperience in developing secure| scalable APIs and services to support AI-driven applicationsEnsure best practices around security| data privacy| observability| and cost optimizationExperience in building multi-agent and tool-using workflows using Semantic Kernel| AI Foundry| or similar orchestration frameworksCollaborate with product| data science| and platform teams to translate business requirements into AI solutionsExperience deploying applications on cloud platforms (Azure preferred)Familiarity with CICD| containerization (Docker)| and orchestration (Kubernetes is a plus)
Essential Skills: AI C ASP.NET 4.5 Java LLM Python Vector Semantic Kernel AI FoundryLLMs (Azure OpenAI OpenAI Anthropic MicroServices Azure DevOps Docker Kubernetes
Desirable Skills:
Keyword:
Skills: Digital : Python~Digital : Docker~Core Java~ASP.NET 4.5
Experience Required: 8-10

Technology

Software Engineer - LLM Applications and AI Agents

Location

:

San Jose

Employment Type

:

Regular

Job Code

:

A00574A

Responsibilities

Join us in pushing the boundaries of AI technology and creating the next generation of intelligent systems that will transform data platforms. We are seeking a highly skilled and innovative Software Engineer to join our cutting-edge Agentic Engine team. As part of a division of the data platform team which focuses on LLM adoption, you will have the opportunity to work with state-of-the-art AI technologies and design architectures that apply LLMs to real-world industry challenges in data development platform areas. This role puts you at the forefront of AI innovation, shaping the future of intelligent systems.

Responsibilities:

Stay abreast of the latest advancements in AI technologies, particularly in LLMs, Retrieval-Augmented Generation (RAG), and AI agents
Develop expertise in data development platforms and drive technological innovation within the team
Design and implement sophisticated architectural solutions for integrating LLM technology into business applications
Collaborate with cross-functional teams to create scalable and efficient AI-powered systems
Contribute to the development of AI agents capable of complex reasoning and task execution
Qualifications

Minimum Qualifications:

Bachelor's degree in Computer Science, Engineering, or a related technical field;
Minimum of 3 years of experience in software engineering, with a focus on AI/ML applications
Demonstrated experience in complex system design and architecture, particularly in AI-driven environments
Strong proficiency in at least one of the following programming languages: Python, Java, C++, Golang, or Rust
Experience with big data processing and distributed computing systems
Excellent problem-solving skills and ability to think creatively in a fast-paced environment
Str

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.About the job you’re considering We are seeking a passionate and innovative Software Development Engineer in Test (SDET) to join our Quality Engineering team and lead the development of LLM- and agentic-based testing solutions. This role blends traditional automation expertise with cutting-edge AI technologies to build intelligent, scalable, and autonomous testing frameworks that redefine how we validate software quality.Your role Design and implement end-to-end testing frameworks leveraging Large Language Models (LLMs) and agentic workflows. Develop and maintain automated test suites for UI, API, and data layers across multiple platforms. Collaborate with AI/ML engineers to integrate Natural Language Processing (NLP) models into testing pipelines. Build and manage test data pipelines for diverse applications and environments. Create and maintain CI/CD pipelines to support continuous testing and deployment. Identify and resolve environmental and data dependencies for comprehensive E2E testing. Lead defect triage, backlog grooming, and root cause analysis sessions. Your skills and experience Around 1 year of experience working in or supporting AI‑based testing environments, or strong interest with hands‑on exposure through projects or coursework. Working knowledge of at least one programming or scripting language such as Python (preferred), Java, or JavaScript. Basic to intermediate experience with test automation tools like Selenium, Playwright, Cypress, or similar frameworks. Familiarity with API testing concepts and tools such as Postman, RestAssured, or equivalent.

AI EngineerConsultant

Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that power Human Capital AI products and analytics. You will work with an AI Data Engineer (data ingestion, curation, governance, platform foundations) and a Lead AI Solutions Architect (end-to-end solution architecture, integration patterns, non-functional requirements), partnering closely with product, data science/ML, security, and platform engineering to deliver reliable, secure, and scalable AI solutions.

This role is hands-on and delivery-oriented: you will ship production pipelines and services that support model training, real-time inference, and LLM applications using Claude-, GPT/Codex-, and Gemini-class models, and more implemented with strong governance, observability, and cost/performance discipline.

Recruiting for this role ends on August 30, 2026Work You'll Do:

As an AI Engineer Consultant, you will design, build, and run the trusted, governed data + feature + retrieval layer used by AI/ML and GenAI solutions. You will deliver reproducible datasets and features, operationalize quality and lineage, and enable secure consumption patterns for both predictive ML and LLM-based experiences.Key Responsibilities:

Partner with the Lead AI Solutions Architect and AI Data Engineer to design, build, and deploy secure, scalable AI solutions (APIs, services, pipelines, containers/serverless) that meet availability, performance, and security requirements.

Build and operationalize LLM-enabled products (copilots, HR knowledge assistant, summarization, policy Q&A) using Claude/GPT(Codex)/Gemini, including prompt/context patterns and tool/function calling.

Implement RAG and document intelligence patterns (ingestion, chunking, embeddings, vector/hybrid search) plus evaluation and retrieval telem

Before jumping into all the information about the role and what you can bring to the table, let us introduce ourselves real quick.

About us

Insider One is the #1 platform that brings everything marketing and customer engagement teams need in one place so they can reach their peak potential and become unstoppable. 

Our story began with six desks and a vision to create a single platform to make industry-first technologies and emerging channels accessible to marketers worldwide. Today, Insider One is powered by 1,500+ team members representing 50+ nationalities across 30+ offices.  With AI at its core and an integrated Customer Data Platform (CDP), Insider One unites data, personalization, and journey orchestration across the most extensive set of natively supported channels, including WhatsApp, SMS, Email, Web, App, and Site Search. 

We recently raised one of the largest funding rounds in the industry, a $500M Series E led by General Atlantic. We are backed by top-notch investors, including Sequoia Capital, QIA, Riverwood, and Endeavor Catalyst, and trusted by 2000+ customers from high-growth startups to the most prestigious Fortune 500 companies such as Samsung, Nike, L’Oreal, Singapore Airlines, Nestlé, Nissan, Lenovo, Puma, IKEA, Allianz, Domino's, and the list goes on.

Insider One was congratulated for becoming one of the only woman-founded, women-led B2B SaaS unicorns in the world. Loved by customers, recognized by analysts, we are the only vendor recognized as the #1 leader in all the capabilities marketing and customer engagement teams need. Don’t just take our word for it — see for yourself. We consistently outperform and continue our leadership, and the results speak for themselves.

From day one, Insider One’s mission has not only been to build a world-class product company, but also to create one of the most socially progressive technology communities in the world. Through our social responsibility initiatives like 100 Social Responsibility Projects, AI Training for Teachers, Code Academy, SheCodes, SheLeads, and SheMarkables, our community has committed to scaling its impact on our communities across 30+ countries, driving initiatives in health, education, farming, animal rights, and increasing women’s representation in STEM.

Behind all these achievements is an exceptionally talented, visionary team of overachievers that moves fast and agile, creating cutting-edge products, and focuses on making an impact. If you want to be a part of this journey, just keep reading.

And now? Now we are looking for a Front-end Developer, who will help our Web Development Team create and implement a wide variety of web-based products using Go, Node JS, or PHP, and wants to take their career one step further. If you think you are one of those people, here you will have the chance to work with the world's leading brands with Artificial Intelligence & Machine Learning technologies. Right now, while you are reading this, we are sending an average of 2.2 billion requests and almost 2 billion instant notifications to more than 450 servers a day. On the Artificial Intelligence and Predictive side, we have more than 100 TB of historical data. We do not wait for jobs or opportunities to come to our feet, we create them. We have now reached 25% of global users. If all these interests you, read on for more! 

Our Engineers and Software Developers always think with an innovative perspective, taking advantage of the inexhaustible power of the digital world. They create impressive and intelligent products like a true artist. Our Product and Development teams are located in our Istanbul office, so we produce and develop the technology we export to the world in our own country. As Insider One, we believe in cooperation and adapting the innovations brought by technology by acting fast. We work closely with other Departments with agile teams, and we are not afraid of getting our hands dirty. As we said; we do not wait for jobs or opportunities to come to our feet, we create them ourselves. You can check our Tech Stacks here!

Join our dynamic team where we focus on delivering innovative software solutions. We specialize in leveraging a modern stack with Native JavaScript, jQuery, Vue.js, TypeScript, and Node.js to build scalable and user-friendly applications. We're looking for passionate, competitive developers who thrive in a collaborative environment and are eager to contribute their skills in cutting-edge web projects.

• Participates in the entire project life cycle, from product development and release to maintenance.


• Researches, evaluates, and shares existing and upcoming new technologies with the team.


• Develops and maintains high-quality, scalable JavaScript/TypeScript applications.


• Collaborates with cross-functional teams to design, develop, and implement web-based solutions.


• Works closely with Back-End Developers to communicate with APIs.


• Provides control of error channels to keep product quality at the highest level.


• Writes and maintains unit tests to ensure code quality and stability.


• Aims to keep code quality and information sharing at the highest level with daily code reviews.

• Have 3+ years of experience as a Front-end Developer with modern DevOps (NPM, Vite, WebPack, Gulp, Browserify, Babel, etc.) and micro Front-end.


• Experience leading projects and implementing cloud-based solutions.


• Strong proficiency in native Vue.js, TypeScript, and Node.js.


• Have experience working in an Agile team.


• Experience with any cloud services, preferably AWS.


• Solid understanding of unit, functional, and e2e testing frameworks and tools.


• Solid understanding of design patterns.


• Familiarity with Microservices, RESTful APIs, JSON, and AJAX.


• A competitive mindset with a passion for problem-solving and innovation.


• Have experience with Sass or other compiled CSS languages and have experience in responsive web design.


• Have experience in developing and testing across multiple browsers, platforms, and devices, including smartphones and tablets.


• Ability to work effectively within a collaborative, team-oriented environment.


• Have good knowledge of version control systems (e.g., Git).


• Are in tune with maintaining, scaling, and monitoring the systems (Datadog, Sentry, etc.).


• Are self-motivated; independent, organized, and proactive; highly responsive, flexible, and adaptable when working across multiple teams.


• Have a visionary mindset.

• Familiarity with Laravel in a small scope.


• Knowledge of CI/CD pipelines and automation tools.

• Enjoy a monthly meal allowance designed to enhance your daily routine.


• Access comprehensive private health insurance.


• Feed your curiosity with access to Spotify, LinkedIn Learning, Blinkist, MasterClass, Neoskola, and CloudGuru.


• Level up with internal trainings covering AI fundamentals, coding, foreign languages, and a wide range of personal development skills.


• Be part of a diverse team that’s as global as it gets, where every voice is heard and 50+ nationalities build together.


• Become a Shareowner through our eligibility-based “ESOP” and own a piece of what you build.


• Help build the team you want to work with and enjoy rewarding referral bonuses.


• Opportunities to give back to your community through volunteering and purpose-driven social impact projects.


• From global retreats to team-building activities, expect year-round events that turn into lifelong memories.


• Get inspired by the greatest minds in the tech industry through events like our Tech & Dev Talks.


• Work from anywhere in Turkey through our fully remote setup.

We aren't just hiring for a position; we are hiring for a mission — a mission to build a lasting legacy that will set the benchmark for the most progressive tech companies out there. 

To do this, we are looking for exceptional talent to join a community of good-hearted individuals who take high ownership and are relentlessly driven to go the extra mile.

If this sounds like who you are and where you aspire to be, we are excited to meet you.

We provide equal opportunity in a zero-discrimination workplace and not just welcome but also embrace everyone without regard to sex, race, color, nationality, religion, gender identity, sexual orientation, disability status, citizenship, or marital status.

Please follow Insider One on LinkedIn, Instagram, X, Facebook and Medium!

Our core values — Stewardship, Character, Collaborate, Learn, Disrupt — are the lens through which we evaluate every business decision. As a dynamic, growing company that offers extremely competitive compensation and benefits, our employees are our most valued assets and the foundation of Expand's performance among our E&P competitors.

We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team. We realize that, historically, underrepresented groups feel the need to be 100% qualified in order to apply. If you meet any combination of our requirements, we encourage you to apply. We strive to hire people from a wide variety of backgrounds, not just because it’s the right thing to do, but because it makes our company stronger.

Job Summary

This senior level position is responsible for building and operating the platforms, pipelines, and standards that support the development, deployment, and lifecycle management of machine learning models and data products. This role is expected to participate and lead communication with business customers as well as cross-functional IT staff, to support business teams delivering machine learning models and advanced analytics solutions.

Job Duties & Responsibilities

Collaborate with cross-functional teams including Business Stakeholders, Business Analysts, Data Engineers, and other Software Engineers to identify and define requirementsDesign, develop, and support machine learning operations (MLOps) platforms and tools in support of data science activitiesImplement and maintain automated pipelines supporting the development, deployment, and operation of machine learning models and data products, ensuring scalability, reliability, and efficiencyDevelop and maintain documentation for platforms, pipelines, and operational processesParticipate in code reviews, testing, and deployment activities, adhering to SDLC best practicesEvaluate and recommend tools, patterns, and process improvements to enh

**Job Summary**
General Atomics Aeronautical Systems, Inc. (GA-ASI), an affiliate of General Atomics, is a world leader in proven, reliable remotely piloted aircraft and tactical reconnaissance radars, as well as advanced high-resolution surveillance systems.

Under general supervision with limited review, this position independently determines approaches/solutions for the design, development and/or modification of specific programs or projects for enterprise-wide end-user, system level, and data management software applications. Involved in planning of application development and deployment as well as responsible for meeting software compliance standards on specific programs or projects. Evaluates integration of software applications with the overall computing environment; responsible for documentation, testing, maintenance, and software updates. Communicates with domain experts, outside customers, users, and management throughout the software development lifecycle.

**DUTIES & RESPONSIBILITES:**
- Design data pipelines and AI/ML engineering infrastructure to support enterprise level operationalization of machine learning systems
- Work as part of an interdisciplinary team to productionize AI/ML models for air-to-air and air-to-ground combat operations
- Develop and deploy scalable tools and services for rapid AI/ML training and inference at the edge
- Identify and evaluate new technologies to improve performance, maintainability, and reliability of machine learning systems
- Apply robust software engineering best practices to machine learning ecosystem, including CI/CD, automation, etc.
- Support stable and repeatable model development, with an emphasis on traceability, version control, adversarial robustness and data security
- Help develop and deploy proof-of-concept machine learning systems to the warfighter
- Communicate with stakeholders to develop roadmaps and implementation schedules
We recognize and appreciate the value and contributions of individuals wit

Ready to be pushed beyond what you think you’re capable of?

At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system.

To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems.

Our work culture is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be.

While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported.

On the Money Movement team, we’re building the core infrastructure for stablecoin-based payments, enabling fast, secure, and scalable transfers across borders and platforms. This work underpins how value moves across the Coinbase ecosystem and beyond.

As a Senior Software Engineer on the CDP Payment Risk team, you will design, build, and scale the real-time risk infrastructure that protects Coinbase’s developer payment flows — including fraud detection and transaction scoring across multi-currency, cross-border payouts. Beyond core backend engineering, this role requires hands-on ownership of ML systems: developing risk models, data pipelines, and integrating state-of-the-art LLM a

If you are looking for a game-changing career, working for one of the world's leading financial institutions, you've come to the right place.

As a Principal Software Engineer at JPMorgan Chase within the Corporate Sector - AI/ML Data Platforms team, you provide expertise and engineering excellence as an integral part of an agile team to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Leverage your advanced technical capabilities and collaborate with colleagues across the organization to promote best-in-class outcomes across various technologies to support one or more of the firm's portfolios.

Job responsibilities

+ Build AI enabled consumer centric and business use-case products using LLMs, RAG, Agents

+ Design, develop software solutions, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.

+ Develops secure high-quality production code, and reviews and debugs code written by others.

+ Develops innovative AI/ML solutions for the LLM Suite platform utilizing public cloud architecture and modern standards, specifically with Azure, AWS using both commercial and open source models

+ Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies.

+ Influences leaders and senior stakeholders across business, product, and technology teams

+ Creates durable, reusable software frameworks that are leveraged across teams and functions.

+ Adds to team culture of diversity, equity, inclusion, and respect.

Required qualifications, capabilities, and skills

+ Formal training or certification on software engineering concepts and 10+ years applied experience

+ Hands on experience of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods.

+ Hands-on experience delivering system design, application developme

Overview of the Role:

Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management.

As a bank with a brain and a soul, Citi creates economic value that is systemically responsible and in our clients’ best interests. As a financial institution that touches every region of the world and every sector that shapes your daily life, our Enterprise Operations & Technology teams are charged with a mission that rivals any large tech company. Our technology solutions are the foundations of everything we do from keeping the bank safe, managing global resources, and providing the technical tools our workers need to be successful to designing our digital architecture and ensuring our platforms provide a first-class customer experience. We reimagine client and partner experiences to deliver excellence through secure, reliable, and efficient services.

Our commitment to diversity includes a workforce that represents the clients we serve from all walks of life, backgrounds, and origins. We foster an environment where the best people want to work. We value and demand respect for others, promote individuals based on merit, and ensure opportunities for personal development are widely available to all. Ideal candidates are innovators with well-rounded backgrounds who bring their authentic selves to work and complement our culture of delivering results with pride. If you are a problem solver who seeks passion in your work, come join us. We’ll enable growth and progress together.

We are seeking a highly skilled and experienced Senior AI/ML & Agentic AI Engineer with a robust background in Python, Java, database technologies, cloud platfor

About Mistral

At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work.

We are a dynamic, collaborative team passionate about AI and its potential to transform society.

Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited.

Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers.

About The Job

Mistral AI is seeking a Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges.

The Applied AI Engineer will be an integral part of our Applied AI Engineering team, which is dedicated to driving the successful deployment of Mistral AI products. They will work hand-in-hand with customers from the pre-sale stage to post-implementation, ensuring our solutions meet and exceed client expectations.

In this role, you’ll manage daily customer relations involving multiple stakeholders (CEO/CTO, data scientists, and software engineers) and function as a key resource in externalising our research in production settings.

What you will do

• You’ll be responsible for onboarding customers on our products and APIs, providing guidance on prompting, evaluation, and fine-tuning, and ensuring the best production integration with back-end and front-end interfaces.

• You’ll work

Agentic AI Machine Learning Engineer
The Opportunity:

As an experienced machine learning engineer, you understand good software is more than just a good user experience. To compete in today's technical landscape, mission-oriented machine learning solutions must be architected, designed, and built to handle fast-moving data, to seamlessly scale with infrastructure based on system usage, and to expand based on evolving mission requirements. We're looking for an engineer like you to create artificial intelligence (AI) and machine learning (ML) enabled solutions that help solve our toughest challenges facing the Defense and Intelligence sectors.

On our team, you'll design, create, and implement complete AI systems that will transform client operations, increase data accessibility, and optimize AI and ML systems. You'll ensure that your team's solutions consider the broader ecosystem and operating environment as well as future functionality and enhancements. Additionally, you'll deepen your skill set in areas like software engineering, machine learning operations (MLOps), and software deployment and integration into a variety of different mission environments.

Ready to transform the Defense and Intelligence sectors with software systems to aid data accessibility and AI and ML operationalization?

Join us. The world can't wait.

You Have:
3+ years of experience as a ML engineer and building production-grade ML solutions, including work involving LLMs, agents, or complex automation frameworks3+ years of experience working within data science or data research in a professional or academic environment, and training or deploying models across multiple modalities of data3+ years of experience working in cloud environments, including AWS and Azure2+ years of experience deploying and integrating production-grade ML models using tools, such as Docker and KubernetesExperience with Large Language Models (LLM), Deep Learning (DL), and Reinforcement Learning (RL), and with tools

Responsibilities
Peraton Labs is seeking a Senior Systems Engineer to define, integrate, and mature the technical foundations of an Agentic AI platform that enables rapid development of secure, AI-powered applications through natural language interfaces, agent builders, and mission-level workflow orchestration.

This role will help bridge product vision, user needs, platform architecture, software implementation, and operational deployment. The ideal candidate will bring strong systems engineering experience with the ability to define requirements, decompose complex problems, align multi-disciplinary teams, and ensure that Agentic AI capabilities are implemented as part of a coherent, scalable, and secure system.

This position is especially well suited for someone who can operate across architecture, integration, technical planning, mission workflows, and end-to-end system behavior in emerging AI-enabled environments.

Key responsibilities may include, but are not limited to:

Design, decompose, and manage system requirements for an Agentic AI platform spanning user interaction, orchestration, platform services, AI enablement, security, and mission integration
Support end-to-end system design across front-end backend, agent orchestration, data flows, access control, and supporting platform services
Translate product objectives and mission use cases into actionable technical requirements, interfaces, workflows, and engineering priorities
Develop system-level architecture views, interface definitions, integration concepts, and functional decomposition for platform capabilities
Partner closely with software engineers, AI/ML researchers, product stakeholders, and platform engineers to ensure technical alignment across system components
Analyze and define workflows involving human users, agents, models, tools, external data/services, and system guardrails
Help establish technical approaches for agent orchestration, context handling, tool integrat

Job Description Base 2 Solutions is seeking an AI/ML Engineer responsible for building, training, fine tuning, and evaluation advanced language models. The ideal candidate will have hands on experience with state of the art machine learning techniques, specifically for natural language processing (NLP), and will also have a strong understanding of full stack development. This person will work across the model development lifecycle and collaborate with cross functional teams to deliver high impact solutions. Required Skills Technical Skills: Strong proficiency in AI/ML frameworks such as TensorFlow, PyTorch, or Hugging Face Expertise in model training, evaluation, and deployment Hands on experience with AWS tools like SageMaker, Lambda, EC2, and S3. Experience in developing full stack software applications (JavaScript, Python, Java, etc.) Solid understanding of data structures, algorithms, and system design Experience & Background: Extensive experience in machine learning model development, including natural language processing (NLP) Experience with model evaluation, optimization, and performance monitoring Prove experience in software engineering with strong coding skills Experience working in a government or defense related environment is highly preferred Additional Skills: Experience with model versioning and management using tools such as MLFlow or Git Familiarity with containerization tools (i.e. Kubernetes) Strong problem solving and analytical skills Excellent communication and collaboration abilities Qualifications Two (2) years experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required. A Master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university. Five (5) additional years of machine learning experience with a relevant Bachelor's degree may be substituted for a Master's degree. Experience with standard mac

About the position

Position Overview: Red Arch Solutions is hiring a Systems Engineer to join a priority program in Annapolis Junction, Maryland. The ideal candidate will have high-level knowledge of the AI lifecycle and general experience with ML pipeline development, model deployment, and DevOps/MLOps. Position Description: Analyzes user’s requirements, concept of operations documents, and high-level system architectures to develop system requirements specifications. Analyzes system requirements and leads design and development activities. Guides users in formulating requirements, advises alternative approaches, and conducts feasibility studies. Provides technical leadership for the integration of requirements, design, and technology. Incorporates new plans, designs and systems into ongoing operations. Develops technical documentation. Develops system Architecture and system design documentation. Guides system development and implementation planning through assessment or preparation of system engineering management plans and system integration and test plans. Interacts with the Government regarding Systems Engineering technical considerations and for associated problems, issues or conflicts. Ultimate responsibility for the technical integrity of work performed and deliverables associated with the Systems Engineering area of responsibility. Communicates with other program personnel, government overseers, and senior executives.

Responsibilities

Analyzes user’s requirements, concept of operations documents, and high-level system architectures to develop system requirements specifications.Analyzes system requirements and leads design and development activities.Guides users in formulating requirements, advises alternative approaches, and conducts feasibility studies.Provides technical leadership for the integration of requirements, design, and technology.Incorporates new plans, designs and systems into ongoing operations.Develops technical documentation.Develops sys

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more. Join us to drive positive, lasting change that moves missions and the government forward!We are looking for a highly motivated and skilled Data Scientist/AI Specialist to join our innovative team in the Annapolis Junction, MD area.

The ideal candidate will possess a strong background in programming, statistical analysis, machine learning, and data preparation, ensuring effective data analysis and informed decision-making.

What you'll do:

Develop and implement data-driven solutions using programming languages such as Python and RConduct statistical analyses, including regression, hypothesis testing, and distribution analysis, to interpret data accuratelyDesign and train machine learning models using frameworks like TensorFlow and Scikit-Learn for predictive analytics and automationPerform data wrangling to clean and organize raw datasets, making them ready for meaningful analysisCollaborate with cross-functional teams to understand business needs and deliver actionable insightsWhat you'll need:

14 years of experience in software engineering in similar programs and contracts utilizing programming languages such as: C++, Python, or Go LangBachelor's degree in Systems Engineering, Computer Science, Computer Engineer, or a related field 4 years of relevant experience can substit

An AI/ML Engineer in the health IT domain with experience in HL7 data standards is responsible for designing, developing, training, and deploying machine learning and AI solutions tailored to health IT applications. This role involves working closely with adverse events data, including HL7 and other clinical data standards, to build scalable, accurate, and efficient AI models that improve drug safety, signal detection and operational efficiency.

Chickasaw Nation Industries, Inc. serves as a holding company with multiple subsidiaries engaged in several lines of business (Technology, Infrastructure & Engineering, Health, Manufacturing, Public Safety, Consulting, and Transportation) for the federal government and commercial enterprises. A portion of our profits is used to support Chickasaw citizens. We are proud to support the economic development and long-term viability of the Chickasaw Nation and its people. CNI offers premium benefits eligible on the first day of hire to full time employees; (Medical - Dental – Vision), Company Life Insurance, Short-Term and Long-Term Disability Insurance, 401(K) Immediate Vesting, Professional Development Assistance, Legal Aid Assistance Program, Family Planning / Fertility Assistance, Personal Time Off, and Observance of Federal Holidays.

As a federal contractor, CNI is a drug-free workplace and adheres to the Federal Controlled Substance Act.

ESSENTIAL REQUIREMENTS

Must possess appropriate level of certifications for this position as required by the contract.

Must be able to obtain a customer clearance for access to facilities, equipment and property.

Strong programming skills in Python, R, or Java with experience in AI/ML frameworks and libraries.

Deep understanding of machine learning algorithms, statistical models, deep learning, and generative AI techniques.

Experience working with healthcare data standards, especially HL7 and FHIR, to process and interpret clinical data.

Famil

Job Title: QA Automation Engineer II

Location: Jersey City, NJ(Hybrid)

Duration: 8+ Months (Possible Extension)

("US citizens and Green Card Holders and those authorized to work in the US are encouraged to apply. We are unable to sponsor H1b candidates at this time.”)

A reasonable, good faith estimate of the minimum and maximum hourly rate on W2 for this position is $55 to $67 with limited benefits.

Job Description:

Key Experiences:

• 9+ years of proven experience in the software development industry, participating in a team environment.

• 5+ years of experience in UI automation, such as Selenium WebDriver.

• 5+ years of proven experience in testing web services such as RESTful API.

• 3+ years of proven experience in performance testing using tools such as Apache JMeter.

• 2+ years of working in a cloud-based development and production environment such as AWS.

• 3+ years of proven experience with programming languages such Java/C#. Familiarity with Python is a plus. Seeking candidates with solid coding proficiency in Java or C#.

• Proficient with both SQL and NoSQL databases.

• Experienced working in Continuous Integration/Continuous Deployment (CI/CD) environments.

• Having AWS/Cloud technologies and AI/ML powered applications knowledge are big plus.

Top 3 Skills Required for this position:

1. Experience in Manual UI Testing & Automation testing using Selenium with C# (Mandatory)

2. Experience in Manual API Testing using Postman or any tool and Automation Testing Experience using JMeter or any Automation tool (Mandatory)

3. Experience with Python Coding (Mandatory)

Key Responsibilities:

• Design and execute functional and automation testing for applications.

• Develop and execute automated test scripts using testing tools; document and summarize results.

• Build, update, and maintain UI automation test cases using Selenium with C#.

• Perform manual API testing using tools such as Postman or Insomnia.

• Perform API automation tes

Job description

Company Description

Dealer Automation Technologies is a leading Information Technology Services company that provides Software as a Service (SaaS) solutions for the automotive industry. The company specializes in Process Automation, Advanced Analytics, and Augmented Intelligence to redefine dealership operations. With a focus on intuitive user experiences and cutting-edge technologies, Dealer Automation Technologies is paving the way for innovation in the sector. Combining the agility of a startup with the expertise and business acumen of seasoned leaders, the company operates without dependence on legacy systems, fostering a dynamic and innovative work culture.

Role Description

This is a full-time, on-site role located in Miami, FL, for a Senior AI/ML Engineer specializing in Large Language Models (LLMs) to join our team. You will play a key role in designing and implementing workflows that leverage large language models (LLMs, LAMs, LMMs, LVLMs, etc.) to automate processes and drive innovation in our products. The ideal candidate will have a deep understanding of NLP, experience with foundational models, and a flexible, problem-solving mindset. You will collaborate closely with cross-functional teams, contributing to the development of scalable AI driven solutions. Other primary responsibilities include designing and implementing machine learning models, particularly in natural language processing and large language models, building scalable algorithms, conducting research on neural networks, and evaluating model performance. Additionally, the engineer will collaborate with cross-functional teams to ensure seamless integration of AI/ML components into the company?s software offerings.

Major Areas of Responsibility
• Design, Implement, and optimize workflows that incorporate large language models to automate and enhance product features.
• Leverage existing foundational models and adapt them to fit into various product requirements, ensuring al

About The Team

The Agentic AI team at Zillow is at the forefront of transforming the real estate industry by helping millions of people use AI technologies to find their next home. We aim to redefine the home shopping and transaction experience by providing an always-on assistant that integrates deep user insights and sophisticated reasoning. By embedding domain knowledge and specialized expertise in these assistants, we empower home buyers and real estate professionals to gain efficiency while maintaining Zillow's competitive edge. This lean, customer-focused team comprises scientists and engineers working together to deliver a delightful customer experience. We strongly believe in accountability, collaboration, and transparency.

About The Role

Zillow is looking for a Principal Machine Learning Engineer on the Agentic AI team to develop advanced multimodal foundational technologies. They will be hands-on in prototyping ideas, evaluating, and deploying models to Zillow's highly scalable infrastructure platforms. They’ll be developing perception and language understanding, deep reasoning, and reinforcement learning to handle AI agent decision-making.

As a Principal Machine Learning Engineer on the Agentic AI team, you will:

Leverage frameworks like AgentSDK, and LangChain/LangGraph to design, prototype, and develop multi-agent systems that are capable of highly autonomous and context-aware interactions Leverage advanced GenAI models including reasoning models, real-time voice API, etc, to build agentic prototypes and later on convert them into product-level agentic skills and deploy to users. Have the mentality of “build, learn, and pivot”, and hold the high bar of shipping into production. Mentor and guide engineers in using the right technologies for agentic AI solutions and foster a culture of innovation and responsible AI usage Distill complex research findings and system designs into actionable insights for diverse audiences—including executives Remain o

About the Role

Intraedge is seeking an experienced Cybersecurity Automation Engineer for its financial domain client. This role is focused on cyber data analytics and automation, playing a pivotal part in protecting enterprise data, infrastructure, and customer trust in a cloud-first, consumer-centric operating model.

The ideal candidate will bring deep technical expertise in automation, SIEM/SOAR, data pipelines, and AI/ML integration, working cross-functionally with IT Architecture, Engineering, DevOps, Security Operations, and business leadership.

Key Responsibilities
• Lead the design and implementation of modern cybersecurity architectures, automation tools, and scalable analytics solutions.
• Develop, deploy, and maintain automation strategies to streamline security operations and response workflows.
• Build advanced Splunk dashboards, queries, and visualizations to support threat detection and forensic investigations.
• Lead implementation and optimization of SIEM platforms (e.g., Splunk) to enhance threat detection and alert fidelity.
• Build and maintain SOAR playbooks to automate incident response actions and remediation processes.
• Continuously improve and expand SOAR integrations across security and IT tools.
• Design, train, and deploy AI/ML models for threat prediction, anomaly detection, and behavioral analytics.
• Integrate ML insights into SIEM/SOAR pipelines to augment analyst decision-making.
• Design, build, and maintain scalable ETL pipelines for security data ingestion, enrichment, and retention.
• Ensure data integrity, quality, and consistency across diverse data sources and pipelines.
• Optimize data workflows for performance, reliability, and scalability in cloud and hybrid environments.
• Lead in-depth analysis of complex incidents, correlating logs and threat intelligence to determine root cause and impact.
• Stay informed of emerging cybersecurity technologies, automation tools, and threat trends to drive innovation.

Required Qualif

Ready to be pushed beyond what you think you’re capable of?

At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system.

To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems.

Our work culture is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be.

While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported.

The mission of the Platform Product Group engineers is to build a trusted, scalable and compliant platform to operate with speed, efficiency and quality. Our teams build and maintain the platforms critical to the existence of Coinbase. There are many teams that make up this group which include Product Foundations (i.e. Identity, Payment, Risk, Proofing & Regulatory, Finhub), Machine Learning, Customer Experience, and Infrastructure.

The Release team within Developer Experience is responsible for the systems and processes that allow the rest of Coinbase engineers to build and deploy software in a simple, safe and secure manner.

What you’ll be doing (i.e. job duties):
• Learn, build, improve, a

Meta is seeking an AI Software Engineer to join our Research & Development teams. The ideal candidate will have industry experience working on AI Infrastructure related topics. The position will involve taking these skills and applying them to solve for some of the most crucial & exciting problems that exist on the web. We are hiring in multiple locations.

Software Engineer - AI SysML (Technical Leadership) Responsibilities:

Drive the organization’s goal towards relevant machine learning techniques to build & optimize our intelligent systems that improve Meta’s products and experiences
Effectively communicate complex features and systems in detail while advocating for higher product quality and engineering efficiency
Assist in goal setting related to project impact
Develop custom/novel architectures, define use cases, and develop methodology & benchmarks to evaluate different approaches
Apply in depth knowledge of how the machine learning system interacts with the other systems around it
Understand industry and Meta wide technology trends in computing technology to help assess & develop new technologies within the ML Systems roadmap
Drive the team's goals and technical direction to pursue opportunities that make your larger organization more efficient
Partner & collaborate with organizational leaders to help improve the level of performance of the team & organization

Minimum Qualifications:

Vast experience communicating and working across functions to drive solutions
Experience in driving large cross-functional and industry-wide engineering efforts
Proven track record of planning multi-year roadmap in which shorter-term projects ladder to the long term vision
Experience leading projects with industry-wide impact
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Significant experience in mentoring/influencing engineers across organizations

Machine Learning Engineer - Applied LLMs
• *4+ years' commercial AI/ML Engineering experience required - STRONG software engineering skillset.

We are currently partnered with a fast-growing heavily-funded AI startup who are revolutionizig Healthcare through cutting-edge Automation. Their product is used by 500,000 users and the business are backed by a host of Tier-1 VCs. This is an opportunity to build a product that has significant impact, both to large Healthcare firms, but also to consumers at the end of the line.

They are looking for Machine Learning Engineers who bridge the gap between Machine Learning and Software Engineering to help shape the future of AI-powered Healthcare automation.

You will be responsible for the design, build, and deployment of AI models to power the autonomous sales agent, and will develop and optimize LLM pipelines for real-time, personalized outreach. You'll also work closely with the product and engineering teams to integrate AI capabilities into the platform and will lead prompt engineering, fine-tuning, and multi-agent architectures.

Key experience;
• 4+ Years' commercial exp. in AI / Machine Learning
• Experience building and shipping AI/ML models (e.g., LLMs, RAG pipelines, NLP applications)
• Proficiency in Python and frameworks such as PyTorch or TensorFlow
• Experience with vector databases and tools like LangChain or LlamaIndex
• Strong problem-solving skills and a builder’s mindset
• Experience in a startup or fast-paced environment is a plus

We are looking for people with a track record of building and shipping quickly, and who have experience working in dynamic startups.

Please apply for more info.

Avanciers is seeking a highly skilled Java Technical Architect to join our team for an exciting long-term contract with one of our esteemed clients, based in Berkeley NJ /Carol Spring FL .

Title: Java Technical Architect
Location: Berkeley NJ /Carol Spring FL
Contract opportunity
Job Description Summary:

Summary: Technical Development Lead is currently a hands-on, technical leader and developer experienced in full stack Java, Cloud, Web and mobile technologies with working knowledge of Domain Driven Designs, Event Based Architecture, API and microservices architecture.

Seniority & Education: Requires a Bachelor's Degree in Engineering/Technology and a minimum of 15+ years of experience designing and deploying enterprise-level technical applications.

Core Technical Stack: Expertise in distributed and cloud technologies (AWS, Azure, Google Cloud Platform), Containerization (Kubernetes), Microservices, Java/JavaScript frameworks (QuarkSpring), and distributed databases (Postgres, Yugabyte).

Security & Cryptography: Strong command of security protocols (PKI, SSL, RSA) and cryptography concepts for both mobile and server-side, including key management and digital signatures.

Modern AI Tooling: Hands-on experience with AI-assisted coding tools (defined as "Vibe coding tools") such as GitHub Copilot, Cursor, Kiro, WindSurf, or Claude Code, alongside knowledge of AI/ML concepts.

Engineering Best Practices: Proficiency in High Availability engineering, performance tuning, session management, and automated testing for both mobile and web applications.

Leadership & Methodology: Experience working in both Agile and Waterfall environments with the ability to manage the full SDLC, solve complex problems, and mentor junior staff.

For applications and inquiries, contact: hirings@openkyber.com

SDET

Location: Hybrid, once a week onsite in DC or Columbia, MD. Candidates MUST be local to the DMV area.

Duration: 6-month contract-to-hire

Visa: US Citizen & GC only

Requirements:

Need to Close:

✅ 5+ years of experience in test automation

✅ Java or Python development experience

✅ Strong SQL experience (can create joins and aggregations, performance optimization, subqueries, etc.)

✅ CloudBees or Jenkins experience

✅ Experience with any AI/ML frameworks (LangChain, OpenAI, Vellum AI, AutoGen, etc.)

✅ Git or SVN experience for version control

Nice to have:

✅ Bachelor’s degree or relevant certifications

✅ LangChain experience

✅ Unix shell scripting experience

✅ Healthcare insurance industry experience

We are looking for a highly skilled
*AI/ML Engineer – Module Lead**
with strong experience in
*Generative AI and Large Language Models (LLMs)**
. In this role, you will design, develop, and deploy scalable AI solutions leveraging advanced models such as
*GPT**
,
*LLaMA**
, and
*Gemini**
.
You will play a key role in building
*Retrieval-Augmented Generation (RAG) pipelines**
, optimizing AI model performance, and integrating AI capabilities into production systems.
This role is ideal for engineers passionate about building
*real-world Generative AI applications at scale**
.
Key Responsibilities
Develop and fine-tune*Large Language Models (LLMs)**
and Generative AI applications.
Design and implement*Retrieval-Augmented Generation (RAG) pipelines**
for intelligent knowledge retrieval.
Work with vector databases such as*Pinecone**
,
*Milvus**
, and
*Chroma**
.
Optimize AI models for*performance, latency, scalability, and cost efficiency**
.
Implement*AI safety and guardrails**
to ensure responsible and secure AI usage.
Collaborate with cross-functional teams including*data scientists, software engineers, and product teams**
to deploy AI solutions into production environments.
Stay updated with the latest advancements in*Generative AI, deep learning, and LLM technologies**
.
Document architecture, models, and best practices for scalability and knowledge sharing.
Required Skills
Strong expertise in*Artificial Intelligence and Machine Learning algorithms**
.
Hands-on experience working with*Large Language Models (LLMs)**
such as GPT, Llama, or Gemini.
Experience building*RAG pipelines**
and working with vector databases.
Proficiency in ML frameworks such as*PyTorch**
or
*TensorFlow**
.
Experience with LLM frameworks like*LangChain**
or
*LlamaIndex**
.
Strong understanding of*prompt engineering, model fine-tuning, and evaluation techniques**
.
Experience implementing*AI monitoring, governance, and safety controls**
.
Preferred Skills
Experience deploying AI solutions on clo

KPMG Advisory practice is currently our fastest growing practice. We are seeing tremendous client demand, and looking forward we do not anticipate that slowing down. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility and leading market tools, we make sure our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory.

KPMG is currently seeking a Senior Specialist, AI Penetration Tester to join our Managed Services practice.

Responsibilities:
• Execute AI-focused penetration testing engagements, including manual testing of systems incorporating AI/ML, objective-based testing of AI-driven features, and coverage of both traditional and AI-centric attack surfaces
• Perform threat modeling for AI-powered software systems, evaluate AI-related business logic, and conduct architecture reviews with emphasis on adversarial ML vectors, prompt-based vulnerabilities, and other AI-specific security risks
• Develop and improve AI-driven tools and methodologies for offensive security tasks such as discovery, exploitation, fuzzing, and adversarial ML testing, focusing on web apps, APIs, and mobile clients
• Demonstrate AI penetration testing findings to technical and non-technical audiences, including live demos, and collaborate with engineering, development, and security teams to lead remediation discussions and advise on secure AI model development and deployment best practices
• Research emerging AI attack techniques, evaluate their potential impact, identify vul

AstraZeneca is a global, science-driven biopharmaceutical company. We are dedicated to discovering, developing, and delivering innovative, meaningful medicines and healthcare solutions that enrich the lives of patients. In AstraZeneca Oncology, our goal is to be at the forefront of developing the next generation of cancer therapies.

This Staff Engineer Agentic AI role is located in either Boston, MA, or Gaithersburg, MD

Main Duties and Responsibilities

There is an exciting opportunity for a talented and motivated Engineer to join the group as a Staff Engineer for Agentic AI. In this role, you will:

Build Agentic AI driven solutions that tackle scientific research problems.

Develop, test, and support Agentic tools for Genomics, Computational Pathology, Clinical Trials, etc.

Automate complex data analysis processes.

Introduce leading AI technologies applied to cancer research.

Essential Requirements

Relevant graduate degree: Computer Science, Engineering, or Bioinformatics.

Minimum of 10 years of applied experience in software engineering, data science, machine learning, bioinformatics, or relevant field.

Hands-on experience building Agentic AI systems and deploying them to production.

Programming skills: Solid Python and/or TypeScript programming skills

Vast Experience in: Unix, SQL databases, REST APIs, Cloud computing (AWS).

Vast Experience in software development best practices.

Desirable:

AI frameworks, such as Pydantic-AI, LangChain, etc.

Experience in RAG, vector databases.

An understanding of LLMs / Foundation models technologies.

Experience in at least one compiled programming language (e.g. any of C, Java, Go, Rust, etc.).

The annual base pay for this position ranges from $177,520.00 - $266,280.00. Base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition, our positions offer a short-term incentive bonus opportu

Date Posted:

2026-02-19Country:

United States of AmericaLocation:

US-CT-EAST HARTFORD-RTRC K 411 Silver Ln RTRC KPosition Role Type:

HybridU.S. Citizen, U.S. Person, or Immigration Status Requirements:

This job requires a U.S. Person. A U.S. Person is a lawful permanent resident as defined in 8 U.S.C. 1101(a)(20) or who is a protected individual as defined by 8 U.S.C. 1324b(a)(3). U.S. citizens, U.S. nationals, U.S. permanent residents, or individuals granted refugee or asylee status in the U.S. are considered U.S. persons. For a complete definition of “U.S. Person” go here: https://www.ecfr.gov/current/title-22/chapter-I/subchapter-M/part-120/subpart-C/section-120.62Security Clearance Type:

None/Not RequiredSecurity Clearance Status:

Not Required

RTX Corporation is an Aerospace and Defense company that provides advanced systems and services for commercial, military and government customers worldwide. It comprises three industry-leading businesses – Collins Aerospace Systems, Pratt & Whitney, and Raytheon. Its 185,000 employees enable the company to operate at the edge of known science as they imagine and deliver solutions that push the boundaries in quantum physics, electric propulsion, directed energy, hypersonics, avionics and cybersecurity. The company, formed in 2020 through the combination of Raytheon Company and the United Technologies Corporation aerospace businesses, is headquartered in Arlington, VA.

The following position is to join our RTX Research Center team:

Role Overview:

Seeking a motivated and curious candidate for an Agentic AI Researcher position in the Advanced Learning and Analytics team, part of the AI Discipline.

The Advanced Learning and Analytics team researches and develops machine learning, computer vision, reinforcement learning, LLM applications and human computer interaction solutions for a variety of high impact real world problems in the aerospace, manufacturing and defense industries. Examples include auton

Oddball believes that the best products are built when companies understand and value the things they are working on. We value learning and growth and the ability to make a big impact at a small company. We believe that we can make big changes happen and improve the daily lives of millions of people by bringing quality software to the federal space.

We’re looking for an Applied AI / Machine Learning Engineer to design, build, and deploy practical AI-powered solutions that solve real-world problems. This role focuses on applying modern ML and GenAI techniques in production systems — from experimentation and prototyping through deployment, evaluation, and iteration. You’ll work closely with engineers, designers, and product stakeholders to turn ambiguous problems into scalable, reliable AI-driven capabilities.

This is a hands-on engineering role for someone who enjoys shipping, learning quickly, and balancing technical rigor with real-world constraints.

What you'll be doing:
• Design, develop, and deploy machine learning and AI-powered features into production systems
• Apply supervised, unsupervised, and deep learning techniques to structured and unstructured data
• Build and evaluate models for tasks such as classification, ranking, prediction, NLP, or anomaly detection
• Develop and integrate GenAI solutions (e.g., LLM-based workflows, retrieval-augmented generation, agents)
• Translate business and user needs into ML problem statements, metrics, and experiments
• Implement data pipelines and feature engineering workflows to support model training and inference
• Evaluate model performance, bias, drift, and reliability; iterate based on results
• Collaborate with software engineers to integrate models into APIs, services, and user-facing applications
• Contribute to architecture decisions around model serving, scalability, and cost optimization
• Document approaches, assumptions, and tradeoffs to support maintainability and knowledge sharing

What you’ll bring:

The Opportunity

Adobe is looking for a Machine Learning intern who will apply AI and machine learning techniques to big-data problems to help Adobe better understand, lead and optimize the experience of its customers.

By using predictive models, experimental design methods, and optimization techniques, you will be working on the research and development of exciting projects like real-time online media optimization, sales operation analytics, customer churn scoring and management, customer understanding, product recommendation and customer lifetime value prediction.

All 2026 Adobe interns will be co-located hybrid. This means that interns will work between their assigned office and home. Interns will be based in the office where their manager and/or team are located, where they will get the most support to ensure collaboration and the best employee experience. Managers and their organization will determine the frequency they need to go into the office to meet priorities.  

What You’ll Do
• Develop predictive models on large-scale datasets to address various business problems with statistical modeling, machine learning, and analytics techniques.
• Develop and implement scalable, efficient, and interpretable modeling algorithms that can work with large-scale data in production systems
• Collaborate with product management and engineering groups to develop new products and features.

What You Need to Succeed
• Currently enrolled full time and pursuing a Master’s or PhD degree in Computer Science, Computer Engineering; or equivalent experience required with an expected graduation date of December 2026 – June 2027
• Good understanding of statistical modeling, machine learning, deep learning, or data analytics concepts.
• Proficient in one or more programming languages such as Python, Java and C
• Familiar with one or more machine learning or statistical modeling tools such as R, Matlab and scikit learn
• Strong analytical and quantitative problem-solving ability.
• Ex

Hi,
Hope you are doing well.

My name is Anjali, and I am a Sr Technical Recruiter at Kanak IT Services LLC. I am reaching out to you regarding the following job opportunity. If you are interested, share me your updated resume on anjali08@kanakits.com.

Role: QUALITY ENGINEERING & AUTOMATION SPECIALIST

Location: Cincinnati, OH (onsite)

Job Description:

Quality Engineering & Automation:
• Develop and execute automated test frameworks for Databricks notebooks, jobs, Delta tables, and data pipelines.
• Implement automated data validation, schema checks, and quality monitoring using tools such as PySpark, SQL, Delta Live Tables, and Databricks Workflows.
• Build reusable test harnesses for ETL/ELT processes, ML pipelines, and APIs.

Data Pipeline Testing:
• Conduct end to end testing of ingestion, transformation, and consumption layers.
• Validate data quality dimensions including accuracy, completeness, timeliness, validity, consistency, and uniqueness.
• Create and maintain synthetic datasets for testing workflows.

Collaboration & Governance:
• Work closely with Data Engineers, Platform Engineers, and Data Scientists to ensure high-quality pipeline design and execution.
• Partner with governance teams to implement data quality SLAs, KPIs, and observability dashboards.
• Contribute to CI/CD processes for Databricks jobs and testing automation.

Performance & Reliability:
• Analyze and optimize performance of Spark jobs and data workflows.
• Troubleshoot failures, identify root causes, and recommend corrective actions.
• Ensure testing processes scale across large datasets and distributed compute environments

Perplexity is seeking a highly skilled, experienced, and hands-on AI Security Engineer to join our security team, driving the protection of next-generation AI systems against adversarial threats. In this role, you’ll design and implement robust mechanisms to secure self-hosted models, LLM APIs, agents, MCPs, and the core AI stack. You'll empower developers with tools and guidance, as well as technical contributions, enabling innovation while ensuring AI security is strong by default.

Our tech stack includes Python, NextJS, TypeScript, Docker, AWS, Kubernetes, and PostgreSQL.

Responsibilities
• Define, build, and refine mechanisms to secure AI systems (including self-hosted models, LLM APIs, agents, MCPs, and other core components of the AI stack) against adversarial behavior of all kinds
• Understand technically complex AI systems, identify potential weaknesses in their architecture, and implement improvements
• At least 50% of time performing hands-on remediation. Also working closely with peer engineers to drive remediations
• Plan and carry out threat modeling activities and realistic threat simulations across our offerings
• Conduct cybersecurity evaluations and lead AI security assessments in a cross-functional environment
• Develop initiatives that improve our capabilities to effectively evaluate AI systems and enhance the organization's prevention, detection, response, and threat hunting capabilities
• Provide guidance and education to developers to help deter and prevent threats

Qualifications
• Hands-on coding and prompting experience.
• Bachelor of Science or Master of Science in Computer Science or a related field, or equivalent experience
• Be a technical and process subject matter expert regarding AI security services and attacker tactics, techniques, and procedures
• Good understanding of LLMs, AI architecture patterns, machine learning models, and related technologies such as MCP
• Understanding of application security principles and secure coding

LLM & GenAI Research Engineer job in Chicago, IL

Are you passionate about advancing the frontiers of artificial intelligence and natural language processing? We are seeking a skilled LLM & GenAI Research Engineer to join our innovative team in Chicago, IL. This role offers a unique opportunity to work on cutting-edge large language models and generative AI technologies that are transforming industries worldwide. If you thrive in a collaborative research environment and are driven by solving complex AI challenges, this position is perfect for you.

Drive Innovation in Large Language Models and Generative AI

A leading AI-focused company in Chicago is looking for an LLM & GenAI Research Engineer to spearhead the development and optimization of next-generation language models. The ideal candidate will have deep expertise in machine learning, natural language processing, and scalable AI systems. If you are excited by the challenge of pushing the boundaries of generative AI and delivering impactful solutions, join us to shape the future of intelligent technologies.

Key Responsibilities of the LLM & GenAI Research Engineer

Research & Development: Design, develop, and optimize large language models (LLMs) and generative AI systems to advance state-of-the-art natural language processing capabilities. Conduct experiments, analyze model performance, and iterate to enhance accuracy, efficiency, and scalability.

Algorithm Innovation: Develop novel machine learning algorithms and architectures tailored to generative AI applications. Stay updated on the latest AI research and integrate cutting-edge techniques to improve model robustness and creativity.

Data Engineering & Management: Collaborate with data scientists and engineers to curate, preprocess, and manage large-scale datasets essential for training LLMs. Ensure data quality, diversity, and ethical sourcing standards are met.

Model Training & Deployment: Lead the end-to-end lifecycle of AI models from prototyping and

A global technology leader based in Boston is seeking a Machine Learning Engineer to focus on optimizing model algorithms for AI applications. The role involves collaboration with product and research teams to develop efficient training and deployment pipelines. Candidates should have a strong understanding of machine learning, deep learning, and proficiency in Python, along with relevant educational qualifications.

This position offers comprehensive benefits and adheres to open-source principles.

The Computational Health Informatics Program (www.chip.org) at Boston Children’s Hospital, a Harvard Medical School affiliate, is seeking an experienced Machine Learning Engineer to join the SMART Health IT team (http://smarthealthit.org). In this role, you will design, build, and deploy LLM pipelines that operate on real-world clinical data and support model validation and care delivery at scale. You will join the team that helped define national standards for healthcare data APIs and population-scale clinical data exchange, and that maintains widely adopted open-source platforms used by hospitals, researchers, and technology partners worldwide. Your work will sit at the center of healthcare data innovation, translating modern AI methods into durable, production-grade tools used in clinical environments.

Key Responsibilities

Develop repeatable pipelines in Python using pandas, scikit-learn, and other statistical tools for data structuring, extraction and validation.
Develop, analyze, and interpret large clinical text datasets using the latest natural language processing (NLP/LLM) methods to extract and validate insights to support clinical research and predictive modeling.
Query and manage health datasets using SQL on AWS cloud
Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Applies knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose questions, and make discoveries. Using a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data. Generates and tests hypotheses and analyzing and interpreting the results of experiments
With minimal supervision and direction, completes assignments in the required timeframe; consistently adhering to and promoting standard operating proced

Your Impact at Lila

We're seeking a Machine Learning Research Engineer specializing in LLM Post Training you'll design and maintain large-scale training systems, optimize performance for massive models, and integrate cutting-edge techniques to improve efficiency and throughput.

What You'll Be Building

Ray-based distributed training infrastructure for LLMs and multi-modal models.
Performance optimizations for large-scale model training including training and optimization workflows (SFT, MoE, long-context scaling).
Orchestrate frontier and open source LLMs along with complex compute-intensive tool use
Scalable pipelines for data preprocessing and experiment orchestration, including tools for efficient data loading, pipeline parallelism, and optimizer tuning.
System-level performance benchmarks and debugging utilities.

What You'll Need to Succeed

Proven experience with distributed ML training frameworks (Megatron-LM, TorchTitan, DeepSpeed, Ray).
Strong software engineering skills (Python, C++ kernel contributions are a plus).
Understanding of large-scale model training techniques.
Experience with cloud or HPC environments.

Bonus Points For

Prior work with scientific datasets or domain-specific modeling.
Contributions to open-source ML frameworks.

Location

San Francisco, CA or Cambridge, MA (Hybrid and On-Site available depending on team needs).

About Lila

Lila Sciences is the world's first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science. We are pioneering a new age of boundless discovery by building the capabilities to apply AI to every aspect of the scientific method. We are introducing scientific superintelligence to solve humankind's greatest challenges, enabling scientists to bring forth solutions in human health, climate, and sustainability at a pace and scale never experienced before. Learn more about this mission at www.lila.ai

If this sounds like a

Where Data Does More. Join the Snowflake team.
As a Lead Engineer for the AI Enterprise team at Snowflake, you lead our AI Forward Deployed Engineering team, working directly with customers and our product team to design and implement cutting-edge AI solutions on the Data Cloud. You will leverage your expertise in software development to create scalable systems, including retrieval-augmented generation, LLM-powered agents, and real-time ML pipelines. This role combines technical innovation with practical implementation to drive customer success.
IN THIS ROLE AT SNOWFLAKE, YOU WILL:
*
Lead and drive implementation of Snowflake data solutions, providing expert guidance and translating business needs into actionable solutions
*
Design and develop advanced AI and ML solutions using Snowflake Cortex and Snowflake ML
*
Collaborate on data pipelines and governance frameworks while leveraging advanced analytics capabilities
*
Engage with clients as primary technical point of contact, effectively communicating complex concepts
*
Mentor team members and contribute to fostering a high-performance culture
*
Drive innovation and continuous improvement in our AI solutions and methodologies
WE WOULD LOVE TO HEAR FROM YOU IF YOU HAVE:
*
B.Sc. in Computer Science
*
10+ years of software development experience
*
Deep expertise in AI/ML technologies and implementation
*
Strong project management and delivery capabilities
*
Excellent communication and stakeholder management skills
*
Proven track record of technical leadership and mentoring

WHY JOIN OUR TEAM AT SNOWFLAKE?
Join our innovative AI Forward Deployed Engineering team where you'll work on cutting-edge technologies that shape the future of data and AI solutions. You'll have the opportunity to solve complex technical challenges while working directly with customers to deliver impactful solutions. Our team combines technical excellence with practical implementation, offering you the chance to grow your expertise while contribut

Role Overview

As a member of the core AV software reliability team , you will be responsible for ensuring safe, stable, and scalable Autonomous Vehicle (AV) software releases by turning failures into actionable engineering insights at scale.

This is a software-first, platform-focused role. You will work primarily across the AV platform software stack (frameworks, runtime, services, orchestration, data pipelines) and its interaction with vehicle hardware and compute —not cloud infrastructure or hardware design.

The mission of this role is to:
• Improve learning velocity from failures
• Reduce reliability escapes
• Increase confidence in production readiness

You will do this through intelligent triage, deep software debugging, and AI-assisted failure analysis across simulation, CI, HIL, SIL, and on-road environments , ensuring that failures are:
• Correctly detected and interpreted
• Consistently categorized and de-duplicated
• Rapidly mapped to the right owners and solution space

You will collaborate closely with AV software engineers, ML engineers, systems engineers, test platform owners, and release/safety stakeholders to ensure reliability signals directly influence engineering priorities and release decisions .

If you are passionate about software reliability, failure analysis, and building AI-driven systems that help organizations learn faster from complex ML-based AV software, this role is for you.

Key Responsibilities
• Own the AV software reliability triage framework for the on-vehicle / AV platform stack, defining how failures from simulation, CI, HIL/SIL, and on-road validation are detected, grouped, and escalated into actionable tickets and insights.
• Perform deep debugging and root-cause analysis across:
• AV platform and framework code
• Perception / planning / control software integrations
• ML pipelines and model rollouts
• Vehicle compute and hardware interfaces (sensors, ECUs, networks)
Connecting failure symptoms (logs, time-series, traces)

AI/ML engineer/Architect - Gemini App Developer

Chicago IL

We need AI/ML engineer/Architect with hands on exp in Gemini app development

Gemini App dev-JD :
• As an AI Agent Integration developer you will be responsible for designs, builds, and deploying intelligent AI agents that perform autonomous tasks such as reasoning, planning, decision-making, and interaction.
• These agents often leverage large language models (LLMs) and integrate into applications like chatbots, automation tools, or SaaS applications.
• You will be responsible in working closely with business users and application teams in developing and deploying AI agents using Enterprise AI tools such as Google Gemini, DevRev and Sierra.
You will also act as a subject matter expert and provide guidance, thought leadership, brainstorming and ideas on how to improve and make agents better or improve flows to applications and data that
the AI agent will leverage.

About Oversight

Oversight is the world’s leading provider of AI-based spend management and risk mitigation solutions for large enterprises. Based in Atlanta, GA, Oversight works with many of the world’s most innovative companies and government agencies to digitally transform their spend audit and financial control processes.

Oversight’s AI-powered platform works across our customers’ financial systems to continuously monitor and analyze all spend transactions for fraud, waste, and misuse. With a consolidated, consistent view of risk across their enterprise, customers can prevent financial loss and optimize spend while strengthening the controls that improve compliance. Learn More.

Position Overview:

We are seeking a skilled and forward-looking ML Engineer with experience in Large Language Models (LLMs), generative AI, and agentic architectures to join our growing R&D and Applied AI team. This role is critical in helping Oversight deliver the next generation of agentic AI systems for enterprise spend management and risk controls.

The ideal candidate has a strong foundation in machine learning, modern deep learning frameworks, and data pipelines, coupled with hands-on experience experimenting with LLMs, small language models (SLMs), multi-agent frameworks, and retrieval-augmented generation (RAG).

You will work closely with AI/ML researchers, data engineers, and product teams to design, implement, and optimize models that power autonomous exception resolution, anomaly detection, and explainable insights. This is a hands-on engineering role where you will not only build and scale ML systems but also actively contribute to cutting-edge applied research in agentic AI.
Core ML/LLM Engineering
• Contribute to the design, training, fine-tuning, and deployment of ML/LLM models for production.
• Implement RAG pipelines using vector databases.
• Work with frameworks like LangChain, LangGraph, MCP to prototype and optimize multi-agent workflows.
• Develop prompt engineeri

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Kirkland, WA, USA.Minimum qualifications:
• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
• 5 years of experience with one or more of the following: speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
• 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).

Preferred qualifications:
• Experience building and scaling platform infrastructure for SaaS or e-commerce products.
• Experience in a technical leadership role leading project teams and setting technical direction.
• Experience in product sense with a focus on developer experience (DX) and merchant tooling, ensuring features directly address customer pain points.
• Ability to work in an agile, "0-to-1" environment, managing projects from conception to launch.

About The Job

Google's software eng

About the Role

We are seeking a Lead ML Engineer, LLM Post-Training Infrastructure to join the Salesforce AI Research Incubation Team. In this role, you will own the infrastructure and engineering systems that support LLM post-training, large-scale evaluation, and model deployment. You will build scalable, reliable

pipelines for training orchestration, rollout generation, reward and feedback pipelines, experiment management, and model iteration, helping translate research ideas into production-grade systems.

This is an engineering-first role focused on ML infrastructure, distributed systems, and training/evaluation workflows rather than developing new model architectures or algorithms. You will work closely with research scientists, agent engineers, and platform teams to operationalize post-training and feedback-driven learning methods into robust, reusable systems.This is a lead-level individual contributor role with deep ownership of model-facing infrastructure and strong cross-functional influence.

Key Responsibilities:

● Design, build, and maintain infrastructure for LLM post-training, evaluation, and

deployment.

● Own scalable pipelines for training orchestration, rollout generation, reward and

feedback processing, checkpointing, and experiment management.

● Build reliable systems for feedback-driven model improvement, including human or AI

feedback loops, large-scale offline evaluation, and regression detection.

● Partner closely with research scientists to turn new post-training methods into reusable

engineering workflows.

● Collaborate with agent engineers and platform teams to integrate training and evaluation

systems with production model and agent stacks.

● Optimize distributed training and inference workloads for reliability, throughput, cost

efficiency, and observability.

● Drive best practices for reproducibility, versioning, monitoring, deployment, and

operational excellence across ML systems.

Required Qualifications:

● 5+ years of

Job Description Responsible for serving as a senior technical leader driving the design, development, and deployment of advanced AI solutions that address complex business challenges. Provides deep expertise across domains such as computer vision, natural language processing, recommendation systems, and predictive analytics, while setting strategic direction, establishing best practices, and influencing cross-functional teams to maximize the impact of AI initiatives. The role is onsite, 5 days/week in Irvine, CA. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.

To learn more about how we collect, keep, and process your private information, please review

Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements Minimum five (5) + years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python. Two (2) + years' experience in Python, PyTorch, TensorFlow, or other machine learning frameworks. Must have advance knowledge and experience with C#. Proven experience applying large language models (LLMs), generative AI, or OSS agent-based frameworks to busine

Apple builds products that are loved by people around the world-products that enrich lives by making powerful technology feel simple, intuitive, and accessible. Through deep integration of hardware, software, services, and design, we deliver end-to-end experiences that fit naturally into everyday life and work seamlessly across your devices and data. This is where ambitious ideas become real products, shipped at global scale and trusted by millions, and increasingly billions, of people.

We’re building Apple Intelligence to be the most personalized and integrated intelligence on the planet. Apple is a company people trust with their most personal information-from everyday communication to photos, health, and fitness-enabling us to build highly contextual experiences with uncompromising privacy & security. We’re looking for software engineers to build experiences that harness cutting-edge technologies like AI, machine learning, and computer vision to solve difficult, high-impact problems at scale, in ways that feel effortless to our users. Our work sits at the intersection of AI, system software, and user experience, and aims to create features you’d genuinely want to use. This is a rare opportunity to get in on the ground floor of something that will redefine how millions of people interact with their devices, while upholding Apple’s core values of privacy, accessibility, and inclusion.

Description

In this role, you will work across the stack - from the system software and frameworks to end-user interfaces - to build Apple Intelligence features that enrich people’s lives. This is a highly cross-functional role working with design, algorithms, software, services, privacy, security, performance, and sometimes even HW / Silicon teams across Apple to engineer end-to-end solutions.

You will need to work quickly and creatively to help demonstrate the viability of ideas and technologies while building robust, production-ready systems that millions of users will depend o

About the Role:

Grade Level (for internal use):
13

S&P Global Ratings

The role: Director Software Development Engineer in Test

The Team:

This Director-level role leads the Enginuity-X team (Engineering Excellence) within the S&P Global Ratings Engineering organization. You will drive strategic Quality Engineering (QE) transformation, aligning automation, performance, security, AI, and usability with business outcomes.

As a key enabler of Engineering Excellence, you will work horizontally across delivery ARTs, partnering with cross-functional areas to deliver quality at scale.

Key Responsibilities
• Automation Strategy: Define and implement enterprise-wide automation frameworks integrated with CI/CD pipelines for scalability and maintainability.
• Performance Engineering: Establish standards and frameworks for performance, reliability, and scalability testing.
• Security & Compliance: Drive secure engineering practices, including security testing, threat modeling, and vulnerability assessments.
• Non-Functional Testing: Build capabilities for observability, resilience, data integrity validation, and regulatory compliance.
• AI-Driven Quality: Advance agentic AI platforms for predictive and autonomous testing, leveraging ML for defect prediction and risk-based testing.
• People Leadership: Lead and mentor a high-performing team, fostering innovation, collaboration, and continuous learning.
• Cross-Functional Alignment: Partner with Product, Architecture, and Delivery leaders to embed quality practices into engineering workflows.
• Governance & Metrics: Define KPIs and quality metrics to measure automation, performance, and security effectiveness; report outcomes to senior leadership.
• Talent Enablement: Develop career paths, training programs, and certification strategies to build future-ready QE talent.
• Usability & Accessibility: Champion inclusive product experiences by promoting usability and accessibility standards.

Required Skills & Experience
• 15+ ye

Who We Are

Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips - the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world - like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world.

What We Offer

Salary:
$108,000.00 - $148,500.00

Location:
Chandler,AZ

You'll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible-while learning every day in a supportive leading global company. Visit our Careers website to learn more.

At Applied Materials, we care about the health and wellbeing of our employees. We're committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits.

As a Software Engineer at Applied Materials, you'll dive deep into ground-breaking technologies-like machine learning and AI-to craft novel software solutions that solve our customers' high-value problems. Our Software Engineers are responsible for designing, prototyping, developing, and debugging software solutions for semiconductor equipment components and devices to ensure quality and functionality. You'll develop software documentation and test procedures, troubleshoot software problems, and communicate with internal customers to understand project requirements. As part of our team, you'll contribute your expertise in intricate systems, deciphering c

We are seeking a SDET to join our client's team to drive innovation in AI-powered test automation. This role focuses on building and maintaining intelligent test automation infrastructure on AWS and CloudBees, with emphasis on self-healing scripts and AI-driven testing solutions. This is a great pportunity to work with cutting-edge AI and automation technologies.

Key Responsibilities
- Design, develop, and maintain automated test scripts and frameworks
- Deploy and configure reliable automation assets in CloudBees CI/CD pipelines
- Troubleshoot and resolve technical issues with automation infrastructure
- Create AI-based automation solutions using AWS Bedrock and frameworks like LangChain
- Integrate AI agents-and solutions with existing automation platforms
- Implement self-healing test scripts and Intelligent Test Automation (ITA) strategies
- Apply context engineering to ensure AI-driven testing relevance and coverage

This position is a contract to permanent opportunity offering a career stability and growth! This position is a hybrid opportunity (1-2x onsite per week in Maryland and/or Wash DC office).-

Required Skills

- Bachelor's degree in Computer Science, IT, or related field is preferred
- 5+ years of experience in software testing and test automation
- Proven experience with AI tools for test generation, refactoring, and self-healing
- Strong understanding of DevOps practices and CI/CD pipelines
- Experience building and scaling testing agents
- Knowledge of context engineering for AI-driven testing
- Experience with modern testing frameworks beyond Selenium
- Background in machine learning or AI applications
- Experience with microservices and containerized applications

Required Technical Skills
- Programming Languages: Python, Java/Selenium, SQL
- AI/ML Frameworks: AWS Bedrock, LangChain, Pandas, and other popular Machine Learning libraries
- Test Automation: Selenium, Playwright, API testing frameworks
- Cloud & DevOps: AWS services, Docker, Kubern

Networking group develops control plane and data plane Networking stacks for Apple’s innovative including iPhone, iPad, Apple TV, iPod, and Mac OS. Leveraging adaptive machine learning techniques this group continuously enhances the user’s Network connectivity experience

Description

Networking Quality Assurance (QA) team is looking for a passionate software quality engineer to join us to develop and automate tests and work on performance characterization tests. We are looking for a highly motivated engineer who has an aptitude to debug complex and layered software stacks. You will be self-motivated and will design and develop analysis and visualization software tools to improvise screening process efficiency. You will collaborate with multiple teams thrive in a dynamic and innovative environment.

Preferred Qualifications

Have experience developing scripts and tools

Experience debugging problems in a highly concurrent environment

Have familiarity with the TCP/IP suite of protocols

Familiarity with network configuration protocols (e.g. DNS, DHCP, Bonjour, etc)

Track record of shipping high quality products

Ability to stay focused and prioritize a heavy workload while achieving extraordinary quality

System performance characterization a plus.

Innovative, flexible, and results oriented with a positive attitude

Minimum Qualifications

BS/MS IN Computer Science or equivalent.

You have proven track record of defining and leading large scale quality initiatives of networking products.

You will have strong programming skills with Python, C/C++

You will have experience developing scripts and tools

You will have excellent communication skills

You have an ability to work with multi-functional engineering teams.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability,

Job Title: Automation Tester

Location : Remote

Required Skills:
• Programming Skills: Proficiency in Java, Python, or JavaScript for test script development.
• Test Automation Tools: Experience with Selenium, Appium, or similar tools for automated testing.
• API Testing: Knowledge of tools like Postman for testing application interfaces.
• CI/CD Integration: Ability to integrate automated tests with CI/CD pipelines using Jenkins or similar tools.
• AI Testing: Understanding of AI testing frameworks and tools for testing machine learning models and AI-driven applications.
• Analytical Thinking: Strong analytical skills for test case design and result interpretation.
• Communication Skills: Clear communication for collaborating with team members and documenting test results.
• Cloud Testing: Minimum 2+ years of experience testing in a cloud environment (GCP preferred). Includes verification of test conditions using backend systems, running SQL queries, navigating cloud storage objects, and checking service responses using tools like SoapUI.
Day-to-Day Responsibilities:
• Developing Automated Testing Frameworks: Design and implement automated testing frameworks to streamline testing processes and improve efficiency.
• Creating Test Scripts: Write and maintain automated test scripts for functional, regression, and performance testing of software applications.
• Integration with CI/CD: Integrate automated tests with CI/CD pipelines to enable continuous testing and deployment.
• Executing Test Cases: Run automated test cases to validate software quality, identify defects, and ensure adherence to requirements.
• Identifying Test Scenarios: Analyze software requirements and user stories to identify test scenarios suitable for automation.
• Maintaining Test Suites: Update and enhance automated test suites to accommodate changes in software functionality and requirements.
• Collaborating with Development Team: Work closely with developers to understand software design and b

Job Title: Automation Tester

Location : Remote

Required Skills:
• Programming Skills: Proficiency in Java, Python, or JavaScript for test script development.
• Test Automation Tools: Experience with Selenium, Appium, or similar tools for automated testing.
• API Testing: Knowledge of tools like Postman for testing application interfaces.
• CI/CD Integration: Ability to integrate automated tests with CI/CD pipelines using Jenkins or similar tools.
• AI Testing: Understanding of AI testing frameworks and tools for testing machine learning models and AI-driven applications.
• Analytical Thinking: Strong analytical skills for test case design and result interpretation.
• Communication Skills: Clear communication for collaborating with team members and documenting test results.
• Cloud Testing: Minimum 2+ years of experience testing in a cloud environment (GCP preferred). Includes verification of test conditions using backend systems, running SQL queries, navigating cloud storage objects, and checking service responses using tools like SoapUI.

Day-to-Day Responsibilities:
• Developing Automated Testing Frameworks: Design and implement automated testing frameworks to streamline testing processes and improve efficiency.
• Creating Test Scripts: Write and maintain automated test scripts for functional, regression, and performance testing of software applications.
• Integration with CI/CD: Integrate automated tests with CI/CD pipelines to enable continuous testing and deployment.
• Executing Test Cases: Run automated test cases to validate software quality, identify defects, and ensure adherence to requirements.
• Identifying Test Scenarios: Analyze software requirements and user stories to identify test scenarios suitable for automation.
• Maintaining Test Suites: Update and enhance automated test suites to accommodate changes in software functionality and requirements.
• Collaborating with Development Team: Work closely with developers to understand software design and

VetsEZ is seeking a Mid-Level QA / Automation Engineer to support the testing, validation, and quality assurance of web-based applications within the Department of Veterans Affairs (VA) environment. This role is responsible for planning, executing, and maintaining both manual and automated test efforts to ensure high-quality, reliable software delivery.

The ideal candidate brings strong experience in test automation frameworks, a meticulous attention to detail, and demonstrated ability to leverage AI tools and techniques to enhance testing efficiency, coverage, and accuracy.

This position requires U.S. citizenship and the ability to obtain and maintain a Public Trust clearance. Candidates must reside in the US.

Responsibilities:
• Plan, design, and execute comprehensive test strategies for web-based applications
• Perform functional, regression, integration, and end-to-end testing across multiple environments
• Develop, maintain, and execute automated test scripts using industry-standard frameworks (Playwright preferred, Selenium acceptable)
• Validate application behavior against functional and technical requirements
• Identify, document, and track defects using Jira (XRay preferred)
• Collaborate with developers, product owners, and cross-functional teams to ensure quality throughout the development lifecycle
• Maintain detailed and structured test cases, ensuring traceability and consistency across releases
• Contribute to test documentation and knowledge sharing using Confluence
• Participate in Agile ceremonies including sprint planning, backlog grooming, and retrospectives
• Support CI/CD pipelines by integrating automated testing into build and deployment workflows

AI-Enabled Testing Responsibilities:
• Leverage AI-assisted tools (e.g., test generation, defect prediction, code analysis) to improve test efficiency and coverage
• Utilize AI-driven approaches for test case generation, prioritization, and maintenance
• Apply machine learning-based validation

Software Development Engineer in Test
Help us build the next generation of Mimecast products!
Be on the cutting edge as we continue building the next generation of Mimecast's Human Risk Management solution! We use our AI and ML platform to help our customers identify and address non-compliance, data loss and security issues across their communication and collaboration tools, and to respond to incidents quickly.
We are looking for a Software Developer in Test (SDET) with skills and aptitudes for test automation and quality engineering to join our dynamic and collaborative software engineering team!
Why Join Our Team?
"This is a highly effective software engineering team developing products and features that are essential to our company strategy and have high priority. The products are interesting, the technology is modern, and the team is engaged and collaborative. It is a great environment to learn new skills and share the ones you already have." - Hiring Manager
What You'll Do:
As an SDET at the Software Engineer I level in the Governance, Compliance and Insights team, you will design, develop and operate software tests for our industry leading solution for Human Risk Management. Your responsibilities will include:
Help plan, refine and estimate epics and stories as part of an Agile Scrum team.
Create test strategies and plans to thoroughly test new features.
Refine acceptance criteria into testable units and convert those to efficient and reliable automated tests.
Integrate automated tests with CI/CD pipelines and sustain successful automation as part of our regular build process.
Perform manual testing on occasions when automated tests are not practical.
Detect, reproduce, and help resolve defects, emphasizing troubleshooting, root cause analysis, and preventing similar issues in the future.
Collaborate with cross-functional teams including Product Managers, Architects, and Engineers in the US and UK.
Participate in and help drive Agile development processes.
Pus

Take the clearer route to smart career growth.

At clearer.io , we’re reimagining eCommerce by enhancing search, discovery, and customer engagement through a standout suite of innovative apps. Our mission is straightforward yet powerful: to empower our partners with solutions that streamline their operations, foster customer trust, and drive sustainable growth. We’re not just about technology - we’re about making eCommerce smarter, simpler, and more impactful, delivering solutions that inspire confidence and create real results.With fresh investment and rapid growth, this is the perfect time to join our journey. When you become part of clearer.io, you step into a role where your work truly matters. Here, you’ll have the opportunity to own your projects, drive outcomes, and make an impact within a supportive, diverse team of professionals dedicated to customer success. We value clarity, results, and a customer-centric approach that keeps us focused on delivering real value to our partners every step of the way.If you’re ready to cut through the clutter and focus on what really matters in a dynamic eCommerce landscape, clearer.io is the place to grow, lead, and shape the future of online retail. Join us, and be part of a team that’s committed to making eCommerce clearer, more efficient, and more rewarding for everyone.

Your Impact:

As a Senior QA Automation Engineer, you will be the primary architect and strategist for our quality ecosystem. We are looking for a technical leader who can transition our testing from traditional models to an AI-augmented, high-speed automation framework. You will own the Playwright roadmap, lead the automation team, and ensure our cloud-native applications on AWS meet the highest standards of reliability and performance. You will also work across teams to implement best practices, ensure testability in design, and enhance CI/CD processes.

What You’ll Do:





• 
  

  Define and drive the overall QA strategy, balancing automated vs. manual efforts to hit aggressive release targets.

  
  


• 
  

  Architect and scale a robust, distributed automation framework using Playwright (TypeScript/JavaScript).

  
  


• 
  

  Lead the automation guild, conducting high-standard code reviews and mentoring junior engineers on clean code and design patterns.

  
  


• 
  

  Research and implement AI-driven testing tools (e.g., self-healing scripts or predictive bug analysis) to increase coverage.

  
  


• 
  

  Expand automation coverage across UI, API, and backend services for our SaaS platform.

  
  


• 
  

  Partner with DevOps to embed Playwright suites into GitHub Workflows using Docker and Kubernetes (EKS/ECS).

  
  


• 
  

  Influence testability in the SDLC by working closely with developers and product teams.

  
  


• 
  

  Lead performance testing efforts using tools like k6 or JMeter to identify system bottlenecks.

  
  


• 
  

  Analyze production health and perform Root Cause Analysis (RCA) using Datadog.

  
  



What You'll Bring:





• 
  

  Typically requires a minimum of 5 years of related experience with a Bachelor’s degree in Computer Science, Engineering, or equivalent.

  
  


• 
  

  Experience with e-commerce and with specific experience of Shopify a plus!

  
  


• 
  

  Deep knowledge of test automation frameworks, with expert-level proficiency in Playwright being a must.

  
  


• 
  

  Good experience with Kubernetes (EKS, ECS), Docker, and AWS services.

  
  


• 
  

  Hands-on experience with CI/CD pipelines, GitHub workflows, and infrastructure automation.

  
  


• 
  

  Proven track record in performance testing and optimization techniques.

  
  


• 
  

  Experience or a strong vision for incorporating AI/ML into the testing lifecycle.

  
  


• 
  

  Proficiency in analyzing logs and debugging issues using Datadog or similar observability tools.

  
  


• 
  

  Strong leadership and mentoring skills with the ability to bridge technical complexity for non-technical stakeholders.

  
  



Quantities: What other characteristics do we look for? Leadership for sure. But what does that mean? Well, some of the attributes we appreciate include:





• 
  

  Inquisitiveness

  
  


• 
  

  Having pride in one’s work

  
  


• 
  

  Tenacity: trying to work it out but knowing when to ask for help

  
  


• 
  

  Follow-thru and dependability

  
  


• 
  

  A strong belief in the team’s success 

  
  


• 
  

  Most importantly, friendly/kind/a good teammate

  
  


• 
  

  Demonstrable examples of leading individuals/teams driving architectural direction, establishing best-practices and patterns

  
  





Why clearer.io?



• We believe in making things simpler - for our customers, and for each other. That means clarity, purpose, and progress guide everything we do. 


• Customers at the heart: We obsess over their needs so we can grow together


• Purposeful progress: We don’t settle. We take initiative and embrace bold thinking.


• Endless innovation: We refine, improve, and take meaningful action


• Always open: We build trust through transparency and global collaboration 



Clearer benefits:



• 100% Remote Culture: Work from anywhere that brings you happiness.


• Performance-based Year-End Bonus: Recognizing and rewarding your individual contributions.


• Wellness Allowance: Support for classes promoting physical and mental health.


• Time Off: 20 days/year, in addition to Vietnam holidays.


• MacBook Provided.


• Collaborative Events: Offline meet-ups, monthly gatherings and year-end party.


• Continuous Learning: Technical and general workshops, online resources.


• Health and Wellness Benefits: Generali Health Care, annual check-up.


• International Exposure: Enhance expertise and English communication skills.



Working hours: 8:00 AM – 5:00 PM (Vietnam time), Monday to Friday. We’re here to make things clearer - in e-commerce and in employee experience. If that sounds like your kind of role, we’d love to hear from you!

BCI has a new contract role open with our direct client located in Jersey City, NJ. This position will be hybrid with the need to be in the office 1 day a week. Might be 2 days a week in the future. Contract will be 9 months to start with possible extension.
• *\*Please note - for this position we can work only on a W2/1099 basis. NO C2C/subcontractors. Must be a US Citizen, or GC/EAD/OPT holder. Unable to provide any sponsorship/H1. Local candidates to the NY/NJ are preferred. Please read the entire JD for full details on the experience needed for this position.**
• *Job Description:**
• 9+ years of proven experience in the software development industry, participating in a team environment.
• 5+ years of experience in UI automation, such as Selenium WebDriver.
• 5+ years of proven experience in testing web services such as RESTful API.
• 3+ years of proven experience in performance testing using tools such as Apache JMeter.
• 2+ years of working in a cloud-based development and production environment such as AWS.
• 3+ years of proven experience with programming languages such Java/C#. Familiarity with Python is a plus. Seeking candidates with solid coding proficiency in Java or C#.
• Proficient with both SQL and NoSQL databases.
• Experienced working in CI / CD environments.
• Having AWS/Cloud technologies and AI/ML powered applications knowledge are big plus.
• *Key Responsibilities:**
• Design and execute functional and automation testing for applications.
• Develop and execute automated test scripts using testing tools; document and summarize results.
• Build, update, and maintain UI automation test cases using Selenium with C# (flexibility to learn C# if not already proficient).
• Perform manual API testing using tools such as Postman or Insomnia.
• Perform API automation testing using industry-standard frameworks and tools.
• Participate actively in Agile ceremonies (daily stand-ups, sprint planning, retrospectives).
• Collaborate closely with Development and

Senior Automation Test Engineer
Location / Flexibility - Based in Vienna, VA with occasional work in Chantilly, VA. Some remote flexibility is available.
Clearance - Active Secret clearance required. TS/SCI with Polygraph preferred.

About The Britton Group
The Britton Group is a premier provider of intelligence and national security solutions, specializing in mission-critical IT services, enterprise digital transformation, artificial intelligence, full stack development, multimedia design, and advanced intelligence support.
With over 25 years of experience delivering innovative, secure, and agile solutions to the federal government, we are a trusted partner to the Intelligence Community.
The Britton Group is looking for an Automated Test Engineer to join our growing team where they will aid in several AI/ML deliverables. At The Britton Group, you’ll work alongside talented professionals who are focused on solving complex challenges that support national security and critical government missions. We value initiative, creativity, and continuous learning, and we’re looking for individuals who want to make a real impact through meaningful work.

Mission Focus
As an Automated Test Engineer on our solutions delivery team, you will contribute to modernizing and transforming important government systems. In this role, you will work on forward-thinking technology initiatives that directly support mission-critical operations.

Key Responsibilities
• Maintain and enhance the existing automated testing suite.
• Work closely with development teams to design and implement new automated test scripts.
• Collaborate with cross-functional teams including development, DevSecOps, and operations.
• Identify, analyze, and document issues related to functionality, outputs, or system performance.
• Develop and manage testing schedules and strategies aligned with project timelines.
• Track and document software defects using JIRA and communicate findings to development teams and Scrum lead

Who We Are

Solera is a global leader in data and software services that strives to transform every touchpoint of the vehicle lifecycle into a connected digital experience. In addition, we provide products and services to protect life's other most important assets: our homes and digital identities. Today, Solera processes over 300 million digital transactions annually for approximately 235,000 partners and customers in more than 90 countries. Our 6,500 team members foster an uncommon, innovative culture and are dedicated to successfully bringing the future to bear today through cognitive answers, insights, algorithms and automation. For more information, please visit solera.com.

The Role

This role is for Sr. SDET - Software development Engineer in Test who leads the design, development, and delivery of automation test frameworks for our next generation software platform (computer vision, machine learning, sensor fusion, coaching workflows, reporting, alert management engines, high accuracy vehicle event analysis engines.) The successful candidate will provide technical automation leadership as part of the Software QA Team and is accountable for all aspects of the QA process.This position requires solid experience testing N-Tier application services and data platform within an Agile development environment. Also understands the database well.

What You'll Do

Design, dev, docs, and maintenance of tools, test cases, and automation design for current and next gen software platforms Team with Product Management, SW Engineering, DevOps, and other technical teams in release planning and coordination

Interpret functional requirements and designs to plan, develop, write, execute, and automate functional and data validation test plans

Work with engineering and infrastructure teams on strategy and maintenance for required TDD/CI/CD development and Q/A environments

Provide feedback and influence into the design process to help us build a testable platform, applications, a

Role Test Analyst (SDET)

Assisting the agile team to define testable work that ensures that desired customer experiences and outcomes are achieved and are technically robust, high performing, stable and secure. Promoting continuous improvement and identifying opportunities for efficiencies to maximize the customer experience and reduce test cycle time. Reviewing design documents, business requirements (Stories), acceptance criteria, within the agile team to build test scenarios for testing activities. Review and provide feedback on project documents to aid creation of testing strategy, frameworks, script development standards, test plans and test is complete reports. Pro-actively sharing and reporting risks, issues, challenges, blockers and forthcoming tasks to the Scrum Master or Quality Manager. Accountable to ensure the defects are detected and reported to be prioritized (based on impact) with the Product Owners. Providing support in highlighting software and hardware requirements to ensure proficient delivery of your role. Actively contributes to their Centre of Excellence (CoE) specialism by cross sharing of learnings, emerging, good and best practice with their CoE colleagues. Also comply where required with CoE standards & policies.
Required Skills

AI ML

Automation Testing - Talos

Cypress

ML/NLP Testing

Python

Rest Assured

Selenium

Web services Testing-SOAP UI
Job Info

Job Identification: 615321

Posting Date: 03/09/2026, 12:55 PM

Job Schedule: Full time

Locations: United States

Lane of Recruitment: Lane 1

Join our engineering team as a Senior QA Engineer, where you will drive the quality assurance process for our software products, focusing on test automation and AI/ML testing. You will collaborate closely with developers, data scientists, and product teams to deliver high-quality, scalable solutions in an Agile environment. Your responsibilities will include designing and maintaining automated test frameworks, creating comprehensive test plans, integrating automated tests into CI/CD pipelines, and mentoring junior QA engineers.

Rejoignez Aive, une deeptech française pionnière en IA créative pour la vidéo. En tant que QA Engineer, vous serez responsable de la conception et de l'exécution de stratégies de test adaptées à nos applications, APIs et modèles de machine learning. Vous travaillerez en étroite collaboration avec les équipes produit, tech et data pour garantir des expériences utilisateur de qualité.

Halvik Corp delivers a wide range of services to 13 executive agencies and 15 independent agencies. Halvik is a highly successful WOB business with more than 50 prime contracts and 500+ professionals delivering Digital Services, Advanced Analytics, Artificial Intelligence/Machine Learning, Cyber Security and Cutting-Edge Technology across the US Government. Be a part of something special!

NASA SEWP is seeking an Automated Test Engineer to join our collaborative QA team in ensuring the quality of enterprise web applications supporting NASA operations. This role emphasizes partnership with developers, business analysts, and QA team to design and implement automated testing solutions that accelerate release cycles while maintaining high-quality standards. Working in an Agile environment, you'll contribute to test automation strategy, develop and maintain test scripts using industry-standard tools (Selenium, Cucumber, JUnit), support 508 accessibility compliance efforts, and help drive continuous improvement in testing practices. Leading a team of software testers towards delivering high-quality releases for Java web applications. This position offers the opportunity to make meaningful contributions to mission-critical systems while working with experienced professionals in a supportive team environment.

RESPONSIBILITIES:
• Drive software quality assurance lifecycles within the Agile Development process.
• Contribute to the maintenance and development of highly scalable enterprise applications written in Java Spring boot (back-end) and React (Front-end)
• Mentor and instruct QA team members, helping them make decisions and solve problems.
• Plan and lead end-to-end integration testing in collaboration with Software Development team and other internal stakeholders
• Help achieve goal of 80% code coverage for automated testing
• Manage meetings, set goals, provide feedback on testing tasks, and delegate testing responsibilities.
• Document and update test plans and prod

As a member of the Maps Client Quality Engineering organization, you will play a key role in advancing the automation that ensures the accuracy and reliability of Apple Maps. Your primary focus will be on the Navigation Framework, while also contributing to other foundational areas that power the Maps experience across Apple platforms.

Strong programming skills in Swift and Objective-C, with experience reading, debugging, and extending framework-level or API-level code.

Hands-on experience with asynchronous programming and testing (async/await, callbacks, concurrency, dispatch queues).

Proven expertise in framework or non-UI automation - validating APIs, SDKs, or service integrations.

Solid understanding of CI/CD pipelines and automation infrastructure (ATP, Jenkins, Xcode Cloud).

Experience partnering with Client, Services, and Quality Engineers to define automation needs and architect the right solutions for the right problems.

Exposure to or direct experience integrating AI/ML techniques into automation workflows (intelligent triage, anomaly detection, test selection).

Strong analytical, debugging, and communication skills.

Analytics automation or test-data validation experience is a strong plus.

Bachelor's or Master's degree in Computer Science or equivalent, with 3-5+ years of industry experience in test automation or iOS development.

Passion for building clean, reusable test components and contributing to test infrastructure evolution.

Strong sense of ownership, curiosity, and drive to improve quality at scale.

Experience with Maps, Navigation, or GeoServices frameworks, or other large-scale system APIs.

Background in framework or SDK-level automation architecture.

Familiarity with analytics pipelines and validation of telemetry or metrics data.

Exposure to AI/ML platforms or model-assisted quality systems.

Lumana is on a mission to empower organizations by unlocking the value of their visual data — not just record the world, but to actually understand it and extract meaningful insights. Our AI video security platform delivers unmatched visibility and control, helping customers enhance security and safety, streamline operations, and respond instantly when it matters most.

Founded in 2021, we are backed by tier-one Silicon Valley investors with deep team expertise in AI, computer vision, and machine learning. We are one of the fastest-growing video security companies and recently raised the largest Series A within our industry. We’ve built the most intelligent video security solution on the market — one that sees what matters, acts fast, and prevents what used to be inevitable.

At Lumana, teams are small, dynamic, and trusted to lead. We think big, move fast, and execute like owners — because we are. Your impact here won’t be filtered. It will be visible, lasting, and real.

As a Solutions Engineer, you will be a key technical partner to our growing base of customers across the U.S. Embedded within the Technical Support organization, you’ll work cross-functionally to guide customers from initial evaluation through full deployment, while partnering closely with Sales on pre- and post-sales technical engagements.

This role balances independent problem-solving with deep collaboration, tackling complex technical challenges and delivering trusted guidance on our platform. Acting as a connective layer between customers, Engineering, and Product, you’ll directly influence product direction in the cloud-managed IoT space while accelerating your own career growth. We’re looking for builders who are energized by impact and motivated to move the business forward.

Location

Remote - United States

Responsibilities

• Lead complex, full-stack troubleshooting across the Lumana platform, spanning networking, hardware, software, and electrical components
  

• Act as a senior technical advisor to enterprise customers, providing best-practice guidance on architecture, deployment, and configuration
  

• Own high-impact customer issues end-to-end, driving resolution, root-cause analysis, and long-term prevention
  

• Partner closely with Sales, Engineering, and Product on pre- and post-sales technical engagements and escalations
  

• Influence product quality by testing new releases, identifying systemic issues, and providing actionable feedback to Engineering
  

• Communicate complex technical concepts clearly to customers and internal stakeholders, both verbally and in writing
  

• Author and maintain high-quality technical documentation, knowledge base articles, and internal runbooks
  

• Help design and implement scalable tools, processes, and workflows that elevate support maturity as the company grows
  

• Stay ahead of industry trends and emerging technologies within cloud-managed IoT, networking, and security

We don’t do cookie-cutter. If you’ve got the grit, the drive, and the track record—especially in security or AI—we want to hear from you. Even if you don’t check every box, let’s talk.

Qualifications

Must-Have

• 5+ years of experience in technical support engineering, systems engineering, network engineering, or a related technical role

• Strong, hands-on expertise troubleshooting distributed systems across networking, hardware, and software layers

• Deep understanding of networking fundamentals, including TCP/IP, DNS, DHCP, NAT, VLANs, TLS/HTTPS, 802.11, firewalls, Ethernet/cabling, PoE, and Layer 2 networking concepts

• Experience working with Linux-based systems in production environments

• Proven ability to independently diagnose complex issues and drive them to resolution

• Strong written and verbal communication skills, with the ability to explain technical topics to both technical and non-technical audiences

• Customer-centric mindset with demonstrated ownership, prioritization, and follow-through in fast-paced environments

Nice-to-Have

• Bachelor’s degree in a technical discipline (or equivalent practical experience)

• Experience supporting enterprise customers in SaaS, IoT, security, or cloud-managed platforms

• Familiarity with APIs, Python, scripting, or automation tools

• Experience collaborating closely with Product and Engineering teams on bug triage and roadmap feedback

• Exposure to building or scaling support tools, workflows, or internal platforms

• Industry certifications such as CCNA/CCNP, Network+, Security+, CWNA, MCSE, or CEH

✍️ Lumana Hiring Philosophy

• We spend a lot of time building best-in-class products since we believe a highly differentiated product is easier to sell.

• We aim to provide both product & industry expertise whenever we interact with prospects and customers.

• We strongly believe that small teams with very talented people (and the right work environment) deliver much better performance than teams with large headcount. We hire and compensate accordingly.

• We value a strong sense of ownership, principled thinking over experience, and thoughtful communication.

Our Interview Process

We keep it focused and respectful of your time—our typical process includes:

• A 60-minute conversation with our Talent Team

• A 60-minute interview with our VP of Product

• A take-home assessment (1 Hour Prep)

• A 45-minute session with a Panel of Peers

Curious who you'd be working with? Meet the Leader →

✨ What We Offer - We believe great talent deserves great support. Here’s how we invest in you:

• Competitive Pay: Strong base salary + variable compensation

• Equity & Upside: Own a piece of what you're building

• Tools that Work for You: We arm our team with top-tier tech and modern sales tools—so you can focus on closing, not admin

• Remote-First Flexibility: Work from where you're most effective, with teammates around the globe

• Product Influence: Your voice matters—sales feedback directly shapes our roadmap

For U.S.-Based Employees

• Health & Wellness: Comprehensive medical, dental, and vision coverage

• Time Off: 15 days PTO, paid holidays, and sick leave

• Financial: 401(k) with employer match, equity in a fast-growing startup

• Remote-Friendly: Flexible hybrid/remote work arrangements depending on role

• Parental Leave: Paid parental leave for new parents

• Work Setup: Home office stipend and top-tier equipment provided

Lumana is an equal opportunity employer

‍We are committed to providing equal employment opportunities to all individuals regardless of race, color, ethnicity, religion, sex, gender identity, sexual orientation, national origin, disability, age, marital status, veteran status, pregnancy, or any other basis protected by law.

Recruitment Fraud Alert: All Lumana hiring communications come from @lumana.ai — we never ask for payment or personal banking info.

Recruiters & Agencies: Lumana does not accept unsolicited resumes from agencies without a signed agreement and will not pay related fees.

AI Summary: This AI Quality Engineer role is an excellent match for Rich's SDET background and passion for AI-augmented testing. His 10+ years of automation experience, technical skills in Python and test frameworks, and specific interest in AI testing align well with the position's focus on AI-driven applications and model validation. The main gap is specific experience with AI/ML model testing methodologies, but his strong automation foundation makes this highly learnable. | Skills Matched: Test Automation, SDET, API Testing, CI/CD, Python, Selenium-WebDriver, AI-Augmented Test Automation, Agile/Scrum | Match Score: 85/100 | Original:

Deposco is seeking an experienced AI Quality Engineer (SDET) to join our innovative quality assurance team. This role focuses on ensuring the accuracy, reliability, and performance of AI-driven applications, models, and automation workflows. The ideal candidate will be highly analytical, detail-oriented, and passionate about shaping the future of AI testing practices. You will work closely with product managers, developers, and data scientists to validate AI features, services, and integra

AI Summary: This role is a strong technical match given Rich's extensive automation engineering background and relevant skills in Python, CI/CD, and testing frameworks. However, the internal audit focus requires compliance and regulatory testing experience that isn't evident in his profile, and the full-time nature doesn't align with his part-time preference. | Skills Matched: Test Automation, CI/CD, Python, API Testing, Docker, Git, Agile/Scrum | Match Score: 75/100 | Original: IonQ is developing the world's most powerful full-stack quantum computer based on trapped-ion technology. We are pushing past the limits of classical physics and current supercomputing technology to unlock a new era of computing. Quantum computing has the potential to impact every area of human society for the better. IonQ's computers will soon redefine industries like medicine, materials science, finance, artificial intelligence, machine learning, cryptography, and more. IonQ is at the forefron