Jobs

Don’t Just Find Bugs. Build the Shield.

At etalytics, we develop AI-powered energy management solutions that help industrial companies reduce energy consumption, costs, and CO₂ emissions. Our software platform etaONE® connects complex energy systems, analyzes data in real time, and unlocks efficiency potential through intelligent optimization.

Join the revolution in AI-driven energy intelligence! As a working Student, you won’t just test software: you’ll help ensure the reliability of a sophisticated IoT/AI platform used in real industrial environments. If you’re someone who hates doing things twice and loves automating everything, this is your chance to dive deep into a complex product and build your own testing tools with real impact.

Hours: 14-20 per week

Location: Darmstadt, Germany

Tasks

• Drive Automation: You won’t just run manual tests; you’ll help us build and scale a world-class automation framework using Playwright, TypeScript, and Jest.


• Creative Engineering: Take charge of our unique Python-ffmpeg pipeline to automatically generate platform visuals, turning code into automated user documentation.


• Deep-Dive Testing: Support the entire lifecycle by performing functional, regression, and performance testing to ensure our AI energy insights are always spot-on.


• Collaborate as a Peer: Work closely with developers and product managers. We’re not looking for someone who simply agrees. We value people who contribute their own ideas to improve the product.

Requirements

• The Mindset: You are a self-taught problem solver. You don’t wait for a ticket to be assigned; you see a gap and fill it. You enjoy the 'detective work' of finding out why something broke.


• The Context: You are currently studying Computer Science, Engineering, or a related field and are looking for an internship (full-time, 3 months).


• The Skills: You have foundations in JavaScript/TypeScript and are comfortable working in an IDE and a general development environment. Python and basic Git knowledge are a significant plus.


• Languages: You are fluent in English (written and spoken); German is a plus.

Benefits

• Purpose-driven work: Support industrial companies in becoming more efficient and sustainable


• Flexibility: Hybrid working with home office options and flexible working hours


• Team spirit: A supportive, collaborative environment with plenty of room for exchange and cooperation


• Community: Regular team events and shared activities


• Excellent development opportunities and a high level of personal responsibility in a growing team

Our office is located in Darmstadt near Frankfurt am Main, conveniently located with good connections to public transport, the motorway, and the airport. Become part of a highly motivated, international team!

Ready to make an impact?

Send us your CV (PDF) together with your earliest possible start date.

We can’t wait to meet you and shape the future of energy together!

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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

About Influur

We're building the world's first viral agent. An AI purpose built for influencer marketing.

Not a tool. Not a platform. An autonomous agent that goes from "I need this campaign to break" to "50 influencers live next week" with minimal human intervention.

Why this matters: We have 3 years of proprietary data on what makes influencer content go viral. Warner, Sony, and Universal trust us to break their biggest artists. We're backed by the biggest names in entertainment including Sofia Vergara, Karol G, Tommy Mottola, and Tier 1 VCs like Point72 Ventures. We're not building for hypothetical use cases. We're shipping production AI that drives millions in revenue today.

Why we'll win: We have what no one else has: both the data and the distribution. We have proprietary data on thousands of influencers and what makes content go viral, plus direct relationships with the influencers themselves. In the AI era, having both is the moat. Everyone else has one or the other. We have both.

Why now: AGI agents will replace middle level work by 2027. We have a 12 to 18 month window before the market floods with agents. We're building the category defining social media viral agent right now.

What we're looking for: Elite builders who want full ownership, not a narrow role. This is not a “data engineer” job in the traditional sense. It’s an opportunity to own the full lifecycle: from raw video ingestion to the decisions made by autonomous AI agents in production. We offer meaningful equity to people who want to define the future of agentic AI and own a real piece of it.

\n

Your SkillsetExpert-level Python engineering with clean, modular, reusable code.Experience building scalable data pipelines for unstructured data (video, audio, multimodal).Strong understanding of video/sound processing (codecs, frame extraction, batch & streaming workflows).Hands-on experience building AI agents: memory, planning, tool use, and execution loops.Ability to

DevSecOps Engineer with cloud expertise 💰 Salary: $125,000 - 125,000 per year

At Earth Science Tech, Inc we are looking for a DevOps engineer!

🛠️ Our tech stack:
AI, AWS, Architect, Azure, Backend, CI/CD, Claude Code, Copilot, DevSecOps, ETL, GitHub, GitLab, Network, Python, Security, Terraform, Web, WordPress, NodeJS, Cloud, DevOps

📝 Rquirements:
- 7–10 years of experience in cybersecurity and software engineering, emphasizing hands-on penetration testing and vulnerability assessments.
- Strong proficiency in Python for tool development, automation of scans, and script-based remediation workflows.
- Deep understanding of Azure security architecture, including configuration, identity management, network security groups, and compliance tooling.
- Proven track record of assessing and fortifying web applications and WordPress environments.
- Familiarity with industry-standard security tools such as Burp Suite, Nessus, Metasploit, and Nmap.
- Hands-on experience with CI/CD platforms (e.g., GitHub Actions, GitLab CI) and infrastructure-as-code frameworks (e.g., Terraform, CloudFormation).
- Practical knowledge of SAST/DAST tools, dependency scanning solutions (e.g., Snyk, Trivy, SonarQube), and secrets management systems (e.g., HashiCorp Vault, AWS Secrets Manager).
- Experience in both startup and enterprise settings, able to differentiate between impactful security measures and ineffective security theater.
- Excellent communication skills to explain technical risks to both engineering teams and non-technical leadership.
- Current engagement with AI-enhanced development and security tools for improved productivity.
- Familiarity with Node.js is advantageous but not essential.

👩‍💻👨‍💻 Your responsibilities are:
- Conduct vulnerability assessments and penetration tests across web applications, networks, Azure configurations, and WordPress environments.
- Evaluate Azures security posture by analyzing identity and access policies, network security groups, storag

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.

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Agentic AI Full Stack Software Engineer III- Java/Python/React at JPMorganChase within the Asset and Wealth Management Technology Team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

Design, develop, test, and deploy external client-facing web applications that embed Generative AI and Agentic AI capabilities to enhance automation, personalization, and decision-makingBuild React-based UI experiences for LLM-powered workflows (e.g., chat, search, document Q&A, summarization, assisted advisory), emphasizing usability, accessibility, and performanceImplement and integrate agentic AI workflows that support multi-step task execution, tool/API orchestration, and defined human-in-the-loop controls and guardrailsDevelop and maintain front-end architecture (component patterns, state management, routing, error boundaries) and collaborate on UX patterns for AI features (streaming responses, citations, traceability, retry/fallback flows)Implement Model Context Protocol (MCP) integrations to enable AI agents to securely connect to and interact with external data sources, APIs, and enterprise tools in real timeBuild and maintain scalable data pipelines and data processing workflows for both structured and unstructured data, leveraging cloud services to support LLM-based features and real-time client interactionsDesign and develop robust APIs and microservices to integrate AI/LLM models into client-facing platforms, ensuring seamless, low-latency experiencesDevelop secure, high-quality, production-grade code that powers client-facing applications, ensuring relia

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

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

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

About Semiotic Labs
Semiotic Labs builds advanced Web3 infrastructure, autonomous agents, and cryptoeconomic protocols that power decentralized finance and data economies. As a core developer team for The Graph, Semiotic Labs is pioneering trustless, efficient, and scalable financial primitives.

Our suite of products includes:
• GraphTally a trust-minimized micropayment system for decentralized service providers.
• Allocation Optimizer: an Agent for dynamic stake distribution across subgraphs in The Graph.
• Dynamic Pricing Algorithm: Adaptive online query pricing for Indexers.
• Holographic Homomorphic Signature Scheme (H2S2): Cryptographic primitive aggregating signatures for efficient verification.
• State-Channel Micropayments (via GraphTally): Off-chain payments minimizing on-chain cost for low-value transfers.
• AutoAgora: AI-powered tool for query pricing and negotiation in The Graph.
• RL & Neural-Network Cost Prediction / zk-SNARK Enhancements AI-driven pricing, verifiable queries, and privacy-preserving proof mechanisms.

Role Overview

We’re seeking a Smart Contract Engineer (EVM-focused) to work across Semiotic Labs’ product suite. You will design and implement smart contracts, build scalable backend services, and develop data-driven dashboards. The work will touch on areas such as on-chain identity, agreements, micropayments, and DeFi logic, while integrating with advanced indexing and delegation mechanics within The Graph ecosystem.

As part of our team, you’ll juggle with:

Smart Contracts
• Design, implement, and deploy secure EVM smart contracts (Solidity).
• Build logic for identity, on-chain agreements, micropayments, and DeFi primitives.
• Conduct audits and optimizations for gas efficiency and security.

Backend Services
• Develop APIs and services integrating smart contracts with off-chain components (Node.js, Go, Python).
• Support products such as GraphTally and Allocation Optimizer with backend logic.
• Implement scalable infrastructure for

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Headway Tek Inc, is seeking the following. Apply via Dice today!
• *Role :**

Python Full-Stack Engineer -
• *Autonomous AI, Agent Automation, LLM VectorDB, LangChan, Multiagent
• *Location :

5 days onsite at Alpharetta, GA need local candidates only
• *Interview :**

Client Interview and 2 client interviews onsite at Alpharetta including Python leetcode related queries
• *Experience needed :**

8-15 years
• *Role Summary**

We are looking for a highly skilled
• *Python Full-Stack Engineer**

with hands-on experience in
• *OpenAI-based solutions, Co-Pilot frameworks, MCP, MKS environments**

, and
• *autonomous agent creation**

. This role will focus on building
• *AI-driven task automation, intelligent agents, and end-to-end full-stack solutions**

that accelerate business workflows and reduce manual effort.

The ideal candidate combines strong Python engineering fundamentals with
• *applied AI/LLM orchestration**

, system integration, and scalable automation design.
• *Key Responsibilities
• Design, develop, and deploy Python-based full-stack applications with AI-enabled capabilities
• Build and orchestrate autonomous AI agents for task execution, decisioning, and workflow automation
• Integrate OpenAI models for reasoning, summarization, classification, and agent coordination
• Implement Co-Pilot-style experiences to assist users with intelligent recommendations and actions
• Develop task automation pipelines leveraging agents, schedulers, and event-driven triggers
• Work within MCP and MKS environments to manage configurations, pipelines, and system controls
• Design APIs and backend services to integrate AI agents with enterprise systems
• Build scalable front-end interfaces (React or similar) for AI-driven user interactions
• Ensure security, governance, logging, and observability for AI-powered workflows
• Collaborate with product, architecture, and busines

About Cognizant’s Quality Engineering & Assurance Team

Our Quality Engineering & Assurance team is the innovative engine at our company. We are a dedicated group of builders and problem-solvers responsible for the most critical, customer-facing platforms. Within this team, the Quality practice is not a downstream function but a fully integrated partner in development. Our mission is to embed quality into every stage of the lifecycle, and as a Quality Engineer, you will be on the front lines of this effort.

Position Overview

Are you a driven Quality Engineer passionate about building the future of testing? We are seeking a creative and hands-on QE to be a key contributor to our quality practice. This is an exciting opportunity to move beyond traditional QA and dive into the world of AI-driven testing, helping us build and maintain robust quality standards for our mission-critical intelligent applications that are redefining customer interaction.

Key Responsibilities
• Design, develop, and maintain test automation frameworks using Java and Python. Write clean, efficient, and scalable automation scripts for new features to ensure robust test coverage across all deliverables.
• Perform API testing: Understand API concepts, develop and execute functional tests, interpret Swagger YAML files, and validate endpoints using Postman or Rest Assured automation frameworks.
• Conduct database testing: Write and execute SQL queries to retrieve, update, and delete data, ensuring database integrity and reliability.
• Own quality for assigned features and components: Collaborate with product managers and developers on requirements analysis, create detailed test cases, execute comprehensive test suites (functional, integration, regression), and provide final quality sign-off.
• Track and report testing progress: Use tools such as JIRA, ADO, or ALM for defect logging and reporting, ensuring transparency of feature quality to the team and stakeholders. Also understanding of CI/CD co

Akkodis is seeking a Principal Software Development Engineer in Test for a Contract with a client in Hamilton, NJ. This role drives automation framework architecture, enforces Azure DevOps quality gates, and ensures rigorous data validation for high‑confidence releases.

Rate Range: $53/hour to $56/hour; The rate may be negotiable based on experience, education, geographic location, and other factors.

Principal Software Development Engineer In Test Job Responsibilities Include
• Lead the architecture, design, and governance of scalable automation frameworks across UI, API, services, and data platforms.
• Drive data quality engineering by implementing automated validation for databases, pipelines, and system integrations, ensuring accuracy, consistency, and reconciliation.
• Embed automation and quality gates within Azure DevOps CI/CD pipelines, improving test reliability, execution speed, and release confidence.
• Enable AI‑driven quality practices using Copilot and other AI tools to accelerate test generation, analyze failures, and enhance code maintainability.
• Partner with engineering, product, and DevOps teams to improve system testability, observability, and quality-by-design principles across the platform.
• Mentor and guide SDETs, elevating automation maturity, coding standards, and quality engineering best practices across teams.

Required Qualifications
• Bachelor’s or master’s degree in computer science, Engineering, or a related technical discipline.
• 10+ years of hands‑on experience in SDET, Test Automation, or Quality Engineering with enterprise‑scale systems.
• Proven expertise in UI, API, and data quality automation using tools such as Java/Python, Playwright/Selenium, and advanced SQL.
• Demonstrated ability to lead automation strategy, implement CI/CD quality gates in Azure DevOps, and influence cross‑functional engineering teams at a Principal level.

If you are interested in this role, then please click APPLY NOW. For other opportunities availa

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.

A company is looking for an AI Security Automation Engineer to enhance security in the software development lifecycle through automation and collaboration with various teams. Key Responsibilities Integrate security controls and automated testing into delivery pipelines and SDLC workflows Design, implement, and maintain automation for security scanning and vulnerability detection Produce and maintain documentation for security processes and automated workflows Required Qualifications Bachelor's degree in Computer Science, Cybersecurity, Engineering, or equivalent practical experience Strong knowledge of web and application security fundamentals Hands-on experience with SAST, DAST, SCA, or secrets scanning tools Experience integrating security tooling into CI/CD workflows Proficiency in at least one automation language (e.g., Python, JavaScript/TypeScript)

IMC is embedding agentic AI directly into the developer workflow for our production-critical systems. As a member of the Agentic AI engineering team, you’ll help build agents, MCP servers, and evaluation loops that make AI-generated code reliable, auditable, and fast to ship. You’ll work closely with experienced engineers and platform teams to deliver pragmatic, high-impact AI integrations at scale.

What You’ll Do
• Contribute to the platform by implementing agents, MCP servers, and supporting services that propose and apply changes to large codebases
• Assist in developing retrieval systems that give AI agents and developers accurate, up-to-date context from large codebases and design artifacts
• Help measure and improve AI-generated changes by building compile/test/evaluate pipelines (static analysis, style and safety checks, performance gates, code review)
• Apply IMC’s best practices in concurrency, telemetry, configuration hygiene, and performance-sensitive code paths to ensure AI outputs are reliable and idiomatic
• Collaborate with teammates on experiments to evaluate and improve AI-driven workflows

What You Bring
• BS+ in Computer Science (or related) with strong fundamentals (algorithms, data structures, systems)
• Proficiency in a high-level programming language (Java or Python preferred)
• Experience contributing to developer-facing or production systems
• Curiosity and eagerness to learn about AI/LLM application patterns, even if you haven’t worked closely with them yet
• Strong communication skills; comfortable working with engineers in a fast, collaborative environment

Nice to Have
• Exposure to AI tools or workflows (e.g., LangChain, LangGraph, AutoGen, or similar)
• Experience with retrieval systems (vector search, embeddings, or hybrid approaches)
• Familiarity with compiler/static analysis or large-scale refactoring tools
• Interest in customizing or fine-tuning open-weight models
• Knowledge of model-serving or evaluation infrastructure

Why Th

Location Designation: Hybrid - 3 days per quarter

As part of Technology, you'll have the opportunity to contribute to groundbreaking initiatives that shape New York Life's digital landscape. Leverage cutting-edge technologies like Generative AI to increase productivity, streamline processes, and create seamless experiences for clients, agents, and employees. Your expertise fuels innovation, agility, and growth - driving the company's success.

The Identity & Access Management (IAM) Developer is a senior, hands-on engineering role responsible for designing, developing, and supporting enterprise IAM capabilities at New York Life. This role focuses heavily on SailPoint IdentityIQ (IIQ) development, Java-based customization, and Python-driven automation, while also providing technical leadership and mentorship within the IAM engineering team.

In addition to deep technical expertise, this role requires strong managerial and leadership skills. The IAM Developer is expected to lead workstreams, guide junior developers, partner closely with architecture and security stakeholders, and help translate business and regulatory requirements into scalable IAM solutions.

As IAM continues to evolve alongside automation and artificial intelligence, this role will also contribute to the responsible use of AI-enabled tooling within IAM, including reporting, analytics, and productivity enhancements.

What You'll Do:

IAM Engineering & Development

Design, develop, test, and implement scalable IAM solutions aligned with enterprise security standards and business requirements. Develop and maintain SailPoint IdentityIQ (IIQ) capabilities including workflows, provisioning policies, custom forms, rules, reports, certifications, and integrations. Build and enhance identity lifecycle automation for joiner, mover, and leaver (JML) processes. Develop custom connectors and integrations using JavaBeans, Java, web services, and APIs. Leverage Python scripting to a

Company Description

Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.

At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters — to you, to your community, and to the world.

Progress starts with you.

Job Description

Visa’s Cyber Security team is seeking a Cyber Security Engineer to design, build, and operate large‑scale, cloud‑native and AI‑driven security platforms that protect Visa’s global brand, networks, products, and data. This role combines hands‑on engineering, automation‑first security design, and technical leadership in a highly dynamic, high‑impact environment.

The ideal candidate is a strong security engineer and problem solver with deep experience in Python‑based services, cloud security engineering, API‑driven architectures, and automation, and who is excited to apply GenAI and autonomous agent technologies to modern security challenges.

This role plays a critical part in reducing time‑to‑detect (TTD) and time‑to‑remediate (TTR) by driving intelligent automation, threat intelligence enrichment, and policy‑as‑code across Visa’s multi‑cloud ecosystem.

Key Responsibilities:

Security Engineering & Platform Development:
• Design, develop, and operate large‑scale cyber security platforms that deliver detection, prevention, and response capabilities across cloud and hybrid environments.
• Build cloud‑native, API‑first security services using Python and modern web service frameworks.
• Develop and expand security integration frameworks to interconnect SIEM, CSPM, CNAPP, IAM, network security, and threat intelligence platforms.
• Drive security automation to minimize ma

CertiK is a pioneer in blockchain security, leveraging AI technology to secure blockchain protocols and smart contracts. The role involves conducting security assessments, penetration testing, and developing security methodologies for applications in the blockchain space.

Responsibilities
• Perform security assessments on web, mobile, thick client applications, and browser extensions
• Conduct external and internal network penetration tests
• Perform security source code reviews
• Perform cloud security reviews
• Develop comprehensive pentest reports for both technical and non-technical audiences
• Research and develop innovative techniques, tools, and methodologies for pentesting applications in the blockchain space
• Contribute to the community by developing tools, presentations, and blog posts

Skills
• Passionate about cryptocurrency, DeFi, and blockchain, with a willingness to learn Web3 technologies such as smart contracts
• Minimum of 4 years of experience in application security and penetration testing
• Experienced in source code review for different languages, with a strong understanding of JavaScript and TypeScript
• Experienced in mobile application penetration testing
• Familiar with cloud platforms and their security risks, such as AWS, Azure, and GCP
• Experience in programming with scripting languages such as Python and Bash
• Solid understanding of cryptography
• BS/MS/PhD in Computer Science or Information Security
• Strong spoken and written communication skills
• Experienced in pentesting Web3 applications such as crypto exchanges, wallets, Dapps, and key custodian solutions
• Experienced in smart contract security audits
• Familiar with browser extension architecture and security risks
• Actively participate in the blockchain security community
• OSCP, OSWE, OSCE, GWAPT, or comparable certification
• Participated in bug bounty programs and audit contests
• Published security-related blog posts and spoken at security conferences and/or local mee

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

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.
Job Description

Job Title: Agentic AI Developer (Entry-Level)
Job Location: Bellevue, WA (Hybrid)

About the job you’re considering
The Entry-Level Agentic AI Engineer role focuses on designing and delivering intelligent, AI driven engineering solutions for Automotive and Aerospace customers. This position blends MBSE, CAD/PLM (3DEXPERIENCE, CATIA, No Magic) expertise with LLM based agent development to enable design automation, knowledge extraction, digital thread integration, and decision support. The role requires strong mechanical engineering fundamentals and hands on experience building scalable, enterprise grade GenAI solutions.

Your Role
• Design and develop LLM based intelligent agents using Python and modern agent frameworks.
• Build AI driven solutions for engineering use cases such as knowledge extraction, design automation, and model transformation.
• Develop and integrate MBSE workflows using No Magic / Cameo Systems Modeler and SysML.
• Basic knowledge on CATIA V5/V6 and 3DEXPERIENCE automation solutions using EKL, CAA, Python, and macros.
• Integrate CAD, MBSE, and PLM systems to enable digital thread and digital engineering workflows.
• Develop Retrieval Augmented Generation (RAG) pipelines for engineering knowledge systems.
• Design APIs and orchestrate workflows for engineering copilots and assistants.
• Collaborate with cross functional teams to architect scalable, enterprise grade engineering solutions.
• Develop POCs, technical documentation, and solution architectures for customer engagements.
• Support cloud based deployment of AI solutions, pr

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

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

Technology

Research Engineer, AI Agents for Creation Tools

Location
:

San Jose

Employment Type
:

Regular

Job Code
:

A183272

Responsibilities

We are building the next generation of AI-native creation tools powered by intelligent AI agents. Our mission is to transform how people create by embedding agentic AI directly into creative workflows—from AI-powered camera effect generation to AI-driven video editing and storytelling.

Our team operates at the intersection of AI research, systems engineering, and creative product development, translating advances in agentic AI into scalable, real-world creation tools used by millions of creators. We work closely with product and design partners to ensure that sophisticated AI systems result in simple, powerful, and intuitive creative experiences.

Responsibilities

Research and develop agentic AI systems for creative tools
Design agent architectures for planning, reasoning, memory, and multimodal interaction
Build training, evaluation, benchmarking, and experimentation pipelines for agent systems
Integrate large language models and generative models into end-to-end agent workflows
Prototype new agent capabilities and validate them in real user scenarios
Collaborate with engineering teams to productionize research-driven systems
Qualifications

Minimum Qualifications

Bachelor’s or Master’s degree in Computer Science or a related field
3+ years of related industry experience
Strong background in AI agents, LLM systems, or multimodal AI
Experience with model training, evaluation, and experimentation workflows
Strong programming skills in Python, C++, or similar languages
Ability to translate research ideas into practical systems
Preferred Qualifications

Research or applied experience with tool-use agents, coding agents, or autonomous task-execution agents
Experience studying or improving agent behaviors such as tool selection, planning with tools, code-based execution,

About Cognizant’s Quality Engineering & Assurance Team

Our Quality Engineering & Assurance team is the innovative engine at our company. We are a dedicated group of builders and problem-solvers responsible for the most critical, customer-facing platforms. Within this team, the Quality practice is not a downstream function but a fully integrated partner in development. Our mission is to embed quality into every stage of the lifecycle, and as a Quality Engineer, you will be on the front lines of this effort.

Position Overview

Are you a driven Quality Engineer passionate about building the future of testing? We are seeking a creative and hands-on QE to be a key contributor to our quality practice. This is an exciting opportunity to move beyond traditional QA and dive into the world of AI-driven testing, helping us build and maintain robust quality standards for our mission-critical intelligent applications that are redefining customer interaction.

Key Responsibilities
• Design, develop, and maintain test automation frameworks using Java and Python. Write clean, efficient, and scalable automation scripts for new features to ensure robust test coverage across all deliverables.
• Perform API testing: Understand API concepts, develop and execute functional tests, interpret Swagger YAML files, and validate endpoints using Postman or Rest Assured automation frameworks.
• Conduct database testing: Write and execute SQL queries to retrieve, update, and delete data, ensuring database integrity and reliability.
• Own quality for assigned features and components: Collaborate with product managers and developers on requirements analysis, create detailed test cases, execute comprehensive test suites (functional, integration, regression), and provide final quality sign-off.
• Track and report testing progress: Use tools such as JIRA, ADO, or ALM for defect logging and reporting, ensuring transparency of feature quality to the team and stakeholders. Also understanding of CI/CD co

About the Role

We are looking for a motivated Automation Engineer (SDET) with a strong foundation

in manual testing and a growing focus on test automation. The ideal candidate is

passionate about quality, automation, and leveraging AI-assisted tools to improve testing

efficiency and product reliability.

Key Responsibilities
• Perform manual testing including sanity, regression, and acceptance testing
• Analyze requirements and design effective test cases and test scenarios
• Design, develop, and maintain automated test scripts
• Execute tests and report defects with clear reproduction steps
• Collaborate with developers, product owners, and QA teams in an Agile

environment
• Use AI-assisted tools (e.g., GitHub Copilot, Cursor) to improve automation

productivity
• Participate in sprint ceremonies and contribute to continuous quality

improvements

Required Skills & Qualifications

Testing & QA
• 1–4 years of experience in Testing
• Strong understanding of QA methodologies and Software Testing Life Cycle

(STLC)
• Hands-on experience in Sanity Testing , Regression Testing ,Acceptance Testing

Agile & Tools
• Good knowledge of Agile methodologies (Scrum/Kanban)
• Experience using test management and defect tracking tools, such as : JIRA

TestLink / Zephyr (or similar)

Automation & AI Tools
• Experience or strong exposure to test automation
• Hands-on or working knowledge of AI-powered coding/testing tools, such as:

GitHub Copilot ,Cursor

Programming & Scripting
• Proficiency in at least one scripting/programming language: Python, TypeScript,

or JavaScript
• Ability to write reusable, maintainable, and well-structured automation code

Cloud Awareness
• Basic working knowledge of cloud platforms: AWS or Azure
• Awareness of cloud-based environments and deployments

Good to Have
• Experience with automation frameworks (Playwright, Selenium, Cypress, PyTest,

etc.), Playwright will be preferred.
• API testing experience
• Basic knowledge of CI/CD pipelines and v

Role: Senior Engineer Agentic AI Location: Any US Location - must be willing to travel per business need

Job Description:

Preface The Agentic AI Engineer is a hands-on development role at TCS (Americas) specializing in building and deploying AI agent solutions for clients. As businesses shift toward agentic AIautonomous systems that execute tasks independentlyroles like AI Agent Engineer have emerged. In this client-facing consulting position, youll work in a hybrid environment, delivering cutting-edge AI agents that blend large language models, custom prompts, data sources, and business logic. Projects can range from financial chatbots to manufacturing optimizers, requiring advanced prompt engineering, Retrieval-Augmented Generation (RAG), and strong software skills.

What You Would Be Doing
• Develop AI Agents & Applications: Code the core logic for AI agents, whether standalone or in multi-agent systems, enabling them to answer questions, generate content, or execute transactions.
• Coding with LLMs and Tools: Use Python or similar languages to integrate large language models (LLMs) and external tools (e.g., APIs, web search, databases).
• Prompt Engineering & Optimization: Craft, refine, and test prompts to guide agent behavior, including fallback strategies for uncertainty.
• Implement RAG for Knowledge: Connect AI agents to vector databases or search indices to ground outputs in up-to-date, domain-specific information.
• System Integration & APIs: Integrate AI agents with external systems (e.g., travel booking APIs, payment gateways), handling formatting, RESTful calls, and data responses as needed.
• Testing and Iteration: Simulate agent behavior, identify and fix failure modes, and tune prompts and code for high-quality results.
• Deploy AI Solutions: Package and deploy agent applications (Docker, cloud), ensuring scalability and proper configuration.
• Collaboration & Agile Delivery: Work with AI Architects, Data Engineers, and UX Developers in agile team

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

About Cognizant’s Quality Engineering & Assurance Team

Our Quality Engineering & Assurance team is the innovative engine at our company. We are a dedicated group of builders and problem-solvers responsible for the most critical, customer-facing platforms. Within this team, the Quality practice is not a downstream function but a fully integrated partner in development. Our mission is to embed quality into every stage of the lifecycle, and as a Quality Engineer, you will be on the front lines of this effort.

Position Overview

Are you a driven Quality Engineer passionate about building the future of testing? We are seeking a creative and hands-on QE to be a key contributor to our quality practice. This is an exciting opportunity to move beyond traditional QA and dive into the world of AI-driven testing, helping us build and maintain robust quality standards for our mission-critical intelligent applications that are redefining customer interaction.

Key Responsibilities

Design, develop, and maintain test automation frameworks using Java and Python. Write clean, efficient, and scalable automation scripts for new features to ensure robust test coverage across all deliverables.

Perform API testing: Understand API concepts, develop and execute functional tests, interpret Swagger YAML files, and validate endpoints using Postman or Rest Assured automation frameworks.

Conduct database testing: Write and execute SQL queries to retrieve, update, and delete data, ensuring database integrity and reliability.

Own quality for assigned features and components: Collaborate with product managers and developers on requirements analysis, create detailed test cases, execute comprehensive test suites (functional, integration, regression), and provide final quality sign-off.

Track and report testing progress: Use tools such as JIRA, ADO, or ALM for defect logging and reporting, ensuring transparency of feature quality to the team and stakeholders. Also understanding o

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

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Octans Group LLC, is seeking the following. Apply via Dice today!
• *Must be local to GA
• *Job Title:
• *Sr.

Python

Full-Stack Engineer (AI/LLM /**
• Autonomous Agents
• )
• *Location:
• *GA - Must be local
• *Job Summary:**

We are seeking a Python Full-Stack Engineer with strong experience in AI/LLM-based solutions to build intelligent automation systems and autonomous agents. The ideal candidate will develop end-to-end applications integrating OpenAI models, Co-Pilot-style experiences, and scalable backend/frontend architectures to streamline business workflows.
• *Key Responsibilities:
• Build and deploy Python-based full-stack applications with AI capabilities
• Develop and orchestrate autonomous agents for workflow automation
• Integrate OpenAI/LLM models for reasoning, summarization, and decisioning
• Design REST APIs and scalable backend services
• Create intuitive front-end interfaces (React/Angular) for AI-driven apps
• Implement automation pipelines, schedulers, and event-driven systems
• Work with MCP/MKS environments for configurations and pipelines
• *Required Skills:
• Strong Python + full-stack development experience
• Hands-on with OpenAI/LLM applications and agent frameworks
• Experience with APIs, microservices, and async processing
• Knowledge of agent orchestration, prompt engineering, and automation
• Experience with React/Angular (or similar)
• Familiarity with MCP/MKS environments is a plus
• *Nice to Have:**
• Experience with Co-Pilot frameworks and AI-driven UX
• Background in enterprise workflow automation and scalable systems

You can also apply with your updated resume at
Full Name

Current Location

Work Authorization

Availability

GFT es una compania pionera en transformacion digital. Disenamos soluciones de negocio centradas en la inteligencia artificial (AI-Centric), modernizamos infraestructuras de TI y desarrollamos sistemas core de nueva generacion para lideres del sector bancario, asegurador e industrial. En estrecha colaboracion con nuestros clientes, desafiamos los limites para ayudarles a alcanzar todo su potencial.

Que estamos buscando?

Actualmente tenemos un puesto vacante para un/a QA Senior Engineer con experiencia en banca y en integracion de sistemas y pruebas funcionales, que quiera unirse a GFT. Buscamos una persona entusiasta y dinamica dispuesta a empezar y crecer en un entorno multicultural, motivador y desafiante.

Tus principales responsabilidades seran:
• Diseno de estrategias y planes de prueba: Definir la estrategia de testing y establecer metricas de calidad y criterios de aceptacion.
• Automatizacion de pruebas: desarrollar y mantener scripts de test automatizados con Playwright.
• Y integrar las pruebas en pipelines de CI/CD (por ejemplo, Jenkins, GitHub Actions, GitLab CI).
• Pruebas funcionales y no funcionales
• Gestion de defectos: detectar, documentar y hacer seguimiento de bugs. Y colaborar con el equipo de desarrollo para diagnosticar y resolver problemas.

Requisitos:
• Lenguajes: Python, JavaScript, Java, o similar.
• Herramientas de test: Playwright.
• Control de versiones.
• CI/CD: Jenkins, GitHub Actions, GitLab CI.
• Deseable Ingles B2.

Competencias personales:
• Habilidades de analisis.
• Trabajo en equipo.
• Proactividad.

En GFT consideramos que la diversidad es uno de nuestros pilares fundamentales y promovemos un entorno de trabajo inclusivo basado en la cooperacion y el respeto mutuo. Ofrecemos igualdad de oportunidades a todas las personas sin tener en cuenta su raza, origen cultural, sexo, edad, orientacion sexual, identidad de genero, discapacidad o creencias religiosas.

GFT dispone y ha registrado un Plan de Igualdad que recoge las medida

Outstanding long-term contract opportunity! A well-known Financial Services Company is looking for a Software Engineer in Charlotte, NC (Hybrid).

Work with the brightest minds at one of the largest financial institutions in the world. This is a long-term contract opportunity that includes a competitive benefit package! Our client has been around for over 150 years and is continuously innovating in today's digital age. If you want to work for a company that is not only a household name, but also truly cares about satisfying customers' financial needs and helping people succeed financially, apply today.

Contract Duration: 12 Months

Required Skills & Experience
• 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
• 3+ years of test automation using Selenium, Cucumber, or Karate
• Experience with Python, Java, or C#

What You Will Be Doing
• Provide process design and technical evaluation of product intake items related to internal open source - harvest, market, and document solutions our partners have built to accelerate adoption of test automation with a focus on AI-assisted testing.
• Required to keep up with rapidly increased pace of line of business solutioning and the need to align it with enterprise strategy and scale.
• Consult on or participate in moderately complex initiatives and deliverables within Software Engineering and contribute to large-scale planning related to Software Engineering deliverables. Review and analyze moderately complex Software Engineering challenges that require an in-depth evaluation of variable factors. Contribute to the resolution of moderately complex issues and consult with others to meet Software Engineering deliverables while leveraging solid understanding of the function, policies, procedures, and compliance requirements. Collaborate with client personnel in Software Engineering.

We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions.

With over 8,000 CI&Ters around the world, we’ve built partnerships with more than 1,000 clients during our 30 years of history. Artificial Intelligence is our reality.

At CI&T, we are seeking a highly skilled and motivated SDET (Software Development Engineer in Test) to join our team. You will contribute to an innovative project in a collaborative, innovative, transforming, and multicultural environment, ensuring software quality, reliability, and performance.

Position Overview:

As an SDET, you will play a critical role in designing and executing robust automated and manual testing strategies. Your primary responsibility will be to bridge the gap between development and testing, collaborating closely with cross-functional teams throughout the product lifecycle to ensure quality is embedded from the early stages.

Key Responsibilities:

- Design, develop, and maintain scalable test automation frameworks and scripts.

- Create and execute comprehensive test plans and scenarios across multiple applications and platforms.

- Implement performance, load, and stress testing to validate system stability and scalability.

- Collaborate within agile teams to define and evolve test strategies, standards, and QA best practices.

- Identify, document, and track defects, working closely with developers to ensure timely and effective resolution.

- Analyze test results and quality trends, proposing continuous improvement initiatives to enhance project outcomes.

- Conduct root cause analysis and support the leadership team in Quality Analysis across the Value Stream.

Required Skills and Qualifications

Must-have Skills:

- Proven experience as a QA Engineer or SDET.

- Strong programming skills in at least one language (Java, C#, Python, or JavaScript).

- Hands-on experience with automation tools (Selenium, Cypress, TestNG, or JUnit).

- Proficiency with API testing to

Pennington, New Jersey 08534 Posted April 9th, 2026

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Job Type: Full Time

Job Category: IT

Role: Python Engineer – Agentic AI & MCP Orchestration

Location: Jersey City, NJ/ Pennington, NJ

FTE only

Job Description

Must Have Technical/Functional Skills

Technical Skills
• Strong hands-on experience in Python for building production-grade applications.
• Experience developing agentic AI applications (multi-agent workflows, tool-using agents, autonomous task execution).
• Expertise with AI orchestration frameworks (agents, tools, planners, workflow controllers).
• Practical experience setting up and configuring Model Context Protocol (MCP) servers.
• Ability to implement and integrate MCP Clients with external systems and AI models.
• Proficiency working with LLMs, prompt engineering patterns, and structured output handling.
• Experience with API integration, event-driven interactions, and tool/skill registration for agents.
• Strong understanding of asynchronous Python (asyncio, concurrency patterns).
• Familiarity with vector stores, embeddings, RAG pipelines, and memory architectures (nice to have).
• Experience working with CI/CD, Git, testing frameworks (pytest), and secure coding practices.

Functional Skills
• Ability to translate business problems into agent-driven automation workflows.
• Strong debugging and troubleshooting of distributed agent behavior and orchestration flows.
• Familiarity with governance, model safety constraints, and responsible AI usage patterns.
• Strong documentation habits for API schemas, MCP interface definitions, and agent lifecycle behavior.
• Effective communication with architects, product teams, and business stakeholders.
• Comfort working in Agile environments with rapid experimentation and iteration.

Roles Responsibilities

Design and develop Python-based agentic applications capable of orchestrating autonomous and semi-autonomous workflows.
• Build, configure, and maintain

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.

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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

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,

Requirements
• Bachelor's Degree or equivalent work experience: Computer Science, Software Engineering or equivalent field. - Required,
• 3+ Years Experience developing test strategies, test plans, and test cases. - Required,
• Create and execute test cases; prepare test setups,
• Conduct regression testing and log/report defects,
• Research/resolve basic production support cases,
• Engage with development for clarifications and issue resolution,
• Use AI tools for basic tests creation, documentation, and analysis,
• Programming or scripting experience (Java, Python, JS, C#, or similar),
• Automation tools/frameworks: Selenium, Cypress, Playwright, Appium, REST-Assured, JMeter, etc,
• Strong understanding of QA methodologies, testing lifecycle, and SDLC,
• Agile methodology, DevSecOps exposure along with CI/CD tools like GitHub Actions, Azure DevOps, Jenkins, etc.,
• SQL proficiency; ability to test web apps, APIs, and systems with minimal UI,
• Experience with JIRA/ALM/Xray or similar tools,
• Comfort using AI-powered testing tools, copilots, and analysis utilities,
• Strong analytical, communication, documentation, and problem-solving skills,
• Ability to manage workload, collaborate in Agile teams, effectively, and work independently,
• (Desirable) Knowledge of QA concepts and test lifecycle,
• (Desirable) Basic SQL; familiarity with ALM/JIRA,
• (Desirable) Basic understanding of mobile development languages (Java/Objective-C/Swift/C#),
• (Desirable) Strong ability to learn quickly and meet deadlines

What the job involves
• The Sr. Specialist, Software Development Engineer in Test (SDET) is responsible for ensuring the quality, reliability, and performance of applications through automation, technical testing, and deep collaboration with engineering teams,
• SDETs combine software development skills with quality engineering practices to design, build, and maintain automated test frameworks, tools, and test suites across UI, API, backend, and integrated systems f