Jobs

Contract

Remote

Role Description

As a Senior C++ Engineer, you will work remotely on an hourly paid basis to review AI-generated C++ code, systems designs, and technical explanations, as well as generate high-quality reference implementations and step-by-step reasoning for complex engineering problems. You will assess solutions for accuracy, clarity, safety, and adherence to the prompt; identify errors in logic, memory handling, concurrency, or performance; fact-check technical information; write high-quality explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on correctness and reasoning quality. This fully remote, hourly paid contractor role is with a fast-growing AI data services company and subsidiary of that provides AI training data to many of the world’s largest AI companies and foundation model labs, where your C++ and systems expertise will directly help improve the world’s premier AI models used by millions of developers worldwide.

Your Profile

Bachelor's degree or higher in Computer Science, Electrical/Computer Engineering, or a closely related technical field.4+ years of professional experience developing production software in C++ for systems, performance-critical, or large-scale applications.Expert-level proficiency in modern C++ (C++11 and later), including templates, move semantics, smart pointers, and the STL.Strong background in systems programming concepts such as concurrency, operating systems, low-level performance optimization, and memory management.Hands-on experience with C++ build systems, compilers, linkers, debuggers, and profiling or analysis tools.Minimum C1 English proficiency (written and spoken), with the ability to write clear technical explanations and follow detailed English-language guidelines.Proven experience conducting detailed C++ code reviews and enforcing coding standards for safety, performance, and maintainability.Comfort working with version control, CI/

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

Nelnet is a diversified and innovative company committed to enriching lives through the power of service as a student loan servicer, professional services company, consumer loan originator and servicer, payments processor, renewable energy solutions, and K-12 and higher education expert. For over 40 years, Nelnet has been serving its customers, associates, and communities.

The perks of working at Nelnet go beyond our benefits package. When you join the Nelnet team, you're part of a community invested in the success of each individual. That support comes through in our work, as we are united by our mission of creating opportunities for people where they live, learn, and work.

The Cybersecurity AI Automation Engineer at Nelnet plays a critical role in advancing the organization's cybersecurity capabilities through intelligent automation and AI-driven solutions. This position partners closely with cybersecurity and internal teams to design, build, and deploy automated workflows that increase operational efficiency, reduce manual effort, and surface actionable insights.

This role requires strong technical acumen, practical problem-solving, and a collaborative mindset to deliver scalable solutions within Nelnet's AI infrastructure.

You will:

- Design and deploy AI-powered automation pipelines that support operational workflows.

- Integrate automation solutions within Nelnet's existing AI infrastructure - LLM APIs, orchestration platforms, and workflow tooling.

- Consult with internal teams to eliminate manual, repetitive processes across cybersecurity operations through scalable AI solutions.

- Apply DevSecOps principles throughout the software delivery lifecycle.

- Collaborate with stakeholders to translate business and compliance requirements into well-scoped automation solutions.

- Continuously evaluate emerging AI and automation capabilities for opportunities across cybersecuri

Contract

Remote

Role Description

As a Senior C++ Engineer, you will work remotely on an hourly paid basis to review AI-generated C++ code, systems designs, and technical explanations, as well as generate high-quality reference implementations and step-by-step reasoning for complex engineering problems. You will assess solutions for accuracy, clarity, safety, and adherence to the prompt; identify errors in logic, memory handling, concurrency, or performance; fact-check technical information; write high-quality explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on correctness and reasoning quality. This fully remote, hourly paid contractor role is with a fast-growing AI data services company and subsidiary of that provides AI training data to many of the world’s largest AI companies and foundation model labs, where your C++ and systems expertise will directly help improve the world’s premier AI models used by millions of developers worldwide.

Your Profile

Bachelor's degree or higher in Computer Science, Electrical/Computer Engineering, or a closely related technical field.4+ years of professional experience developing production software in C++ for systems, performance-critical, or large-scale applications.Expert-level proficiency in modern C++ (C++11 and later), including templates, move semantics, smart pointers, and the STL.Strong background in systems programming concepts such as concurrency, operating systems, low-level performance optimization, and memory management.Hands-on experience with C++ build systems, compilers, linkers, debuggers, and profiling or analysis tools.Minimum C1 English proficiency (written and spoken), with the ability to write clear technical explanations and follow detailed English-language guidelines.Proven experience conducting detailed C++ code reviews and enforcing coding standards for safety, performance, and maintainability.Comfort working with version control, CI/

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.

Overview

If you are obsessed with AI and love turning cutting-edge tools into real, deployed systems that people actually use, this is your role. Not research, not demos - implementation. You will be the person who brings AI into our clients' organizations and makes it stick.

At Swans, we are assembling a team of "Avengers": technical problem-solvers who walk into organizations, identify where AI can unlock the most value, and build and deploy the systems that make it happen.

About Swans

Our Company: We are a fast-moving consulting & implementation agency that improves the way US law firms use technology to deliver better services to their clients.

Our Team: We're currently an international team of 10 and expect to grow to 30+ in the next 12 months.

Our Culture: We are energetic, no-BS, intense, results-oriented, and driven to change our industry forever.

What you'll actually do

AI adoption is the single biggest unlock for the organizations we work with - and the gap between "we have access to AI tools" and "AI is embedded in how we work" is enormous. Your job is to close that gap.

You will deploy AI solutions that are practical, safe, and built to last. This means working across the full stack of modern AI implementation: custom integrations, automation workflows, LLM-powered tools, and hands-on enablement with client teams. You will build the connectors, agents, and workflows that make AI actually work inside our clients' existing systems - and you will help our internal team move faster with AI as well.

Your primary toolkit will be the Claude and Google ecosystems, and you will stay at the cutting edge of what is possible with both.

Day in the life

You are embedded in client engagements and internal projects simultaneously. On the client side, you are building custom AI integrations, deploying workflows, and running enablement sessions that drive real adoption. Internally, you are the person who helps the team move faster by identifying and deploying

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

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

Contract

Remote

Role Description

As a Senior C Engineer, you will work remotely on an hourly paid basis to review AI-generated C code, low-level systems designs, and technical explanations, as well as generate high-quality reference implementations and step-by-step reasoning for complex engineering problems. You will assess solutions for accuracy, clarity, safety, and adherence to the prompt; identify errors in logic, memory handling, concurrency, or performance; fact-check technical information; write high-quality explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on correctness and reasoning quality. This fully remote, hourly paid contractor role is with, a fast-growing AI data services company and subsidiary of that provides AI training data to many of the world’s largest AI companies and foundation model labs. Your systems-level C expertise will directly help improve the world’s premier AI models used by millions of developers worldwide.

Your Profile

Bachelor’s degree or higher in Computer Science, Electrical/Computer Engineering, or a closely related technical field.4+ years of professional experience developing production software in C for systems, embedded, or performance-critical applications.Expert-level proficiency in C, including deep understanding of pointers, memory management, undefined behavior, and low-level debugging.Strong background in systems programming concepts such as concurrency, operating systems, hardware interaction, and performance optimization.Hands-on experience with build systems, compilers, linkers, and debugging tools commonly used in C development.Minimum C1 English proficiency (written and spoken), with the ability to write clear technical explanations and follow detailed English-language guidelines.Proven experience conducting detailed code reviews and enforcing coding standards for safety and maintainability in C codebases.Comfort working with version control,

LOCATION: Bethesda, Maryland (On-site / Not-remote)

Overview

We are seeking an experienced AI/LLM Engineer to lead the design, customization, and integration of large language models (LLMs) into biomedical research workflows and information retrieval systems. We are looking for someone with hands-on experience training, fine-tuning, augmenting, and deploying LLMs in production environments, ideally within biomedical or life sciences domains. The role is product-oriented and forward-looking, focused on building the next generation of AI-enabled search, retrieval, and knowledge discovery tools.

This role serves as a subject matter expert (SME) across multiple product and engineering teams. The selected candidate will help define, architect, and implement LLM-driven capabilities across a portfolio of NCBI services. The position requires strong technical depth, sound architectural judgment, and the ability to collaborate effectively within existing product and technical ecosystems.

This is a hands-on, build-oriented role with strategic influence. The candidate must be capable of guiding both what gets built and how it gets built.

Only serious candidates accepted - we are not seeking candidates that have recently graduated with a masters degree in the past 1-2 years.

We are seeking candidates with at least 3+ years experience doing this work after your last degree.

Key Responsibilities

Serve as the AI/LLM subject matter expert across product and engineering teams.
Collaborate with product managers and technical leads to define AI-enabled capabilities and define the use of LLMs across NCBI platforms (e.g., PubMed and related systems).
Develop and implement retrieval-augmented generation (RAG) systems integrating LLMs with large-scale biomedical datasets.
Provide architectural guidance on model selection, domain adaptation, evaluation strategies, and deployment approaches.
Improve model grounding, factual accuracy, and scientific

A technology consulting company in Denver is seeking a Data/AI Engineer for a hybrid role. You will join a team launching a new Spatial AI practice, building production-grade AI agents for internal service teams. The ideal candidate will have experience in backend services, familiarity with cloud-based data systems, and exposure to LLM tooling. This position offers competitive compensation and the opportunity to work at the intersection of AI, data engineering, and geospatial intelligence.

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

About iBusiness

iBusinessis a leading financial technology company transforming the way banks, credit unions, and lenders innovate. As apioneerinsecureAI, automation, and AI software development,iBusinessbuilds infrastructure and platforms that empower financial institutions to modernize faster-without sacrificing compliance or security. Its technologyenablesseamless digital transformation across lending, banking, and customer experience systems, giving institutions the tools to compete and innovate at enterprise scale.

Join us and be part of a team that's transforming the finance industry and empowering businesses to thrive!

Position Description

We are seeking an experienced expert AI Knowledge Data Engineerto design, implement, and scale state-of-the-art AI systems that combine large language models (LLMs), advanced retrieval techniques, cognitive memory architectures, including knowledge representation, and data fusion. In this role, you will orchestrate robust data pipelines, architect scalable training data solutions, and build the foundational knowledge bases that power next-generation AI agents. You will collaborate with cross-functional teams to ensure our systems efficiently retrieve, contextualize, and generate accurate information for diverse business applications.

Major Areas of Responsibility

Architect, implement, and optimize retrieval-augmented generation (RAG) workflows by integrating local LLMs (e.g., Llama) with retrieval mechanisms (vector search, Elasticsearch, FAISS, Weaviate).Design, build, and maintain scalable data pipelines for ingesting, transforming, indexing, and retrieving structured and unstructured data from diverse sources.Design, build, and scale addressable services and tools specifications that can be leveraged by LLMs and Agents to orchestrate workflows.Orchestrate and scale training data operations, including data curation, versioning, and lineage tracking for large-scale LLM training and fine-tuning.Develop and m

We Are:At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation.

You Are:You are a seasoned cybersecurity professional with a deep passion for automation and orchestration in security operations. With over a decade of hands-on experience, you thrive at the intersection of advanced technology and practical security challenges. You excel at architecting scalable, resilient frameworks that not only detect threats but also enable rapid response and learning. Your expertise spans SOAR, SIEM, EDR/XDR, cloud environments, and you are fluent in integrating complex systems through APIs and advanced scripting. You are energized by emerging AI/LLM technologies and have a proven track record of applying them to real-world security workflows, driving efficiency and elevating threat detection and response. As a technical mentor and thought leader, you inspire teams to embrace automation and rigor, fostering a culture of innovation and continuous improvement. You communicate effectively with both technical and executive audiences, translating intricate security concepts into actionable strategies that align with business priorities. You are collaborative, proactive, and always on the lookout for new ways to strengthen security posture against evolving threats. Your curiosity and drive ensure you stay ahead in the rapidly changing cybersecurity landscape, and your commitment to excellence makes you a trusted partner across cross-functional teams.

What You’ll Be Doing:Owning and defining the end-to-end automation and orchestration strategy for Security Operations, covering detection, triage, investigation, containment, remediation, and post-in

About BasisBasis is a nonprofit applied AI research organization with two mutually reinforcing goals.

The first is to understand and build intelligence. This entails establishing the mathematical principles of reasoning, learning, decision-making, understanding, and explaining, and constructing software that embodies these principles.

The second is to advance society’s ability to solve intractable problems. This involves expanding the scale, complexity, and breadth of problems we can solve today and, more importantly, accelerating our ability to solve problems in the future.

To achieve these goals, we are building both a new technological foundation inspired by human reasoning, and a new type of collaborative organization that prioritizes human value.

About the RoleWe’re seeking Software Engineers to develop scalable systems that integrate large language models (LLMs) with our everyday operational workflows. This role involves designing and deploying automated “pipelines” for tasks like recruiting, finance, and project management—often powered by GPT, Claude, or similar LLMs. We’re flexible on your arrangement: we’re hiring contractors, part-time, or full-time teammates.

Core ResponsibilitiesArchitect and maintain automation pipelines combining internal tools with GPT/Claude and other LLMs

Integrate data across third-party APIs (e.g., ATS platforms, Slack, Google) into unified, automated workflows

Leverage structured generation (JSON schemas, function calling, etc.) to ensure robust, correct LLM outputs

Collaborate with Ops and R&D to identify high-impact automation opportunities

Write production-grade code, with emphasis on modularity, reliability, and error handling

Deploy, scale, and optimize your solutions in a secure, cloud-based environment

Document solutions for both technical and non-technical audiences, ensuring easy updates and maintenance

Qualifications and AttributesWe’re looking for individuals who:

Have experience programming in Julia and/

Contract

Remote

Role Description

As a Senior C Engineer, you will work remotely on an hourly paid basis to review AI-generated C code, low-level systems designs, and technical explanations, as well as generate high-quality reference implementations and step-by-step reasoning for complex engineering problems. You will assess solutions for accuracy, clarity, safety, and adherence to the prompt; identify errors in logic, memory handling, concurrency, or performance; fact-check technical information; write high-quality explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on correctness and reasoning quality. This fully remote, hourly paid contractor role is with, a fast-growing AI data services company and subsidiary of that provides AI training data to many of the world’s largest AI companies and foundation model labs. Your systems-level C expertise will directly help improve the world’s premier AI models used by millions of developers worldwide.

Your Profile

Bachelor’s degree or higher in Computer Science, Electrical/Computer Engineering, or a closely related technical field.4+ years of professional experience developing production software in C for systems, embedded, or performance-critical applications.Expert-level proficiency in C, including deep understanding of pointers, memory management, undefined behavior, and low-level debugging.Strong background in systems programming concepts such as concurrency, operating systems, hardware interaction, and performance optimization.Hands-on experience with build systems, compilers, linkers, and debugging tools commonly used in C development.Minimum C1 English proficiency (written and spoken), with the ability to write clear technical explanations and follow detailed English-language guidelines.Proven experience conducting detailed code reviews and enforcing coding standards for safety and maintainability in C codebases.Comfort working with version control,

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

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

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

At LeoTech, we are passionate about building software that solves real-world problems in the Public Safety sector. Our software has been used to help the fight against continuing criminal enterprises, drug trafficking organizations, identifying financial fraud, disrupting sex and human trafficking rings and focusing on mental health matters to name a few.

Role
• This is a remote, WFH role.
• As an AI/LLM Evaluation & Alignment Engineer on our Data Science team, you will play a critical role in ensuring that our Large Language Model (LLM) and Agentic AI solutions are accurate, safe, and aligned with the unique requirements of public safety and law enforcement workflows. You will design and implement evaluation frameworks, guardrails, and bias-mitigation strategies that give our customers confidence in the reliability and ethical use of our AI systems. This is an individual contributor (IC) role that combines hands-on technical engineering with a focus on responsible AI deployment. You will work closely with AI engineers, product managers, and DevOps teams to establish standards for evaluation, design test harnesses for generative models, and operationalize quality assurance processes across our AI stack.

Core Responsibilities
• Build and maintain evaluation frameworks for LLMs and generative AI systems tailored to public safety and intelligence use cases.
• Design guardrails and alignment strategies to minimize bias, toxicity, hallucinations, and other ethical risks in production workflows.
• Partner with AI engineers and data scientists to define online and offline evaluation metrics (e.g., model drifts, data drifts, factual accuracy, consistency, safety, interpretability).
• Implement continuous evaluation pipelines for AI models, integrated into CI/CD and production monitoring systems.
• Collaborate with stakeholders to stress test models against edge cases, adversarial prompts, and sensitive data scenarios.
• Research and integrate third-party evaluation framew

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:

Austin,TX, Santa Clara,CA

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.

Role Summary

The AI Security Engineer is responsible for securing the enablement and use of AI, GenAI, LLM, and agentic technologies across the enterprise, balancing business velocity with protection of Applied Materials’ intellectual property, sensitive data, and customer trust.

This role drives AI security governance, risk management, technical guardrails, and operational oversight for AI systems and AI‑integrated applications across the full lifecycle—from intake and design through deployment, monitoring, and incident response. The role serves as a key focal point for AI security execution in the US and partners closely

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.

Contract

Remote

Role Description

As a Senior C Engineer, you will work remotely on an hourly paid basis to review AI-generated C code, low-level systems designs, and technical explanations, as well as generate high-quality reference implementations and step-by-step reasoning for complex engineering problems. You will assess solutions for accuracy, clarity, safety, and adherence to the prompt; identify errors in logic, memory handling, concurrency, or performance; fact-check technical information; write high-quality explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on correctness and reasoning quality. This fully remote, hourly paid contractor role is with, a fast-growing AI data services company and subsidiary of that provides AI training data to many of the world’s largest AI companies and foundation model labs. Your systems-level C expertise will directly help improve the world’s premier AI models used by millions of developers worldwide.

Your Profile
• Bachelor’s degree or higher in Computer Science, Electrical/Computer Engineering, or a closely related technical field.
• 4+ years of professional experience developing production software in C for systems, embedded, or performance-critical applications.
• Expert-level proficiency in C, including deep understanding of pointers, memory management, undefined behavior, and low-level debugging.
• Strong background in systems programming concepts such as concurrency, operating systems, hardware interaction, and performance optimization.
• Hands-on experience with build systems, compilers, linkers, and debugging tools commonly used in C development.
• Minimum C1 English proficiency (written and spoken), with the ability to write clear technical explanations and follow detailed English-language guidelines.
• Proven experience conducting detailed code reviews and enforcing coding standards for safety and maintainability in C codebases.
• Comfort working

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

Description

About Side

Side is a global video game development and services provider, offering technical and creative solutions to many of the largest developers and studios around the world. Founded in 2009 and drawing on 30+ years' experience from our parent company in Japan, Side has since grown to become a global force with 15+ studios in over a dozen countries across North America, Europe, South America, and Asia.

Our industry-leading services include game development, art production, audio production, quality assurance, localization, localization QA, player support, community management, and datasets.

Key Responsibilities:
Execute functionality, regression, and new feature testing for ongoing LLM-driven product releases.
Design, document, and maintain comprehensive test cases and testing frameworks.
Perform UI/UX testing to ensure smooth and intuitive product interactions.
Validate API endpoints, keys, and developer integrations to ensure consistent system behavior.
Review and manage bug reports submitted by offshore QA teams, verifying, reproducing, and escalating as necessary.
Collaborate with engineering teams to track issues through resolution and ensure quality standards are met prior to release.
Provide testing insights to improve QA efficiency, automation coverage, and release confidence.
Stay up to date on LLM behavior, capabilities, and limitations to design effective test strategies.

Requirements

Qualifications & Experience:
5+ years of experience in Quality Assurance or Software Testing, preferably within AI, SaaS, or developer tooling environments.
Proven experience creating and executing test cases, managing test cycles, and validating both frontend and backend functionality.
Familiarity with large language models (LLMs), generative AI systems, or NLP products.
Strong understanding of API testing and developer tools (Postman, Swagger, cURL).
Experience with bug tracking systems ( Jira, TestRail, or similar).
Solid grasp of software developme

The Role: Senior Software Engineer – Rust (LLM Evaluation & Repository Validation)
Location: Permanent Remote, Africa-Based

Contract Type: Contractor (no medical/paid leave)

Duration: 3 months (extensions possible)

Start Date: Immediate (within 1 week)

Commitment: 20–40 hours/week with some overlap with Pacific Standard Time (PST)

Experience Required: 3–8 years overall, with 2+ years in Rust

About the Project
We are building LLM evaluation and training datasets to train large language models (LLMs) to work on realistic software engineering problems. A key approach in this project involves creating verifiable SWE tasks from public repository histories in a synthetic, human-in-the-loop process. The goal is to expand dataset coverage across programming languages, complexity levels, and problem domains.

This role blends hands-on software engineering with AI-focused research, giving you a chance to work at the intersection of open-source software and cutting-edge AI systems.

Responsibilities:
Analyse and triage GitHub issues across trending open-source libraries.Set up and configure repositories (including Dockerization and development environment setup).Evaluate unit test coverage and quality across projects.Run and modify codebases locally to assess LLM bug-fixing performance.Collaborate with researchers to design/select repositories and tasks challenging for LLMs.(Optional) Lead junior engineers collaborating on evaluation tasks.Why Join:
Work remotely on impactful AI + software engineering projects.Collaborate with researchers shaping the future of AI-assisted development.Opportunity to contribute to real-world open-source challenges while influencing LLM training and evaluation.Application Process: To apply, please submit your CV and a cover letter detailing your relevant experience and qualifications for the role. Applications will be reviewed on a rolling basis, so early submissions are encouraged.
Equal Opportunity Employer: We value diversity and

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

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

Contract

Remote

Role Description

As a Senior C Engineer, you will work remotely on an hourly paid basis to review AI-generated C code, low-level systems designs, and technical explanations, as well as generate high-quality reference implementations and step-by-step reasoning for complex engineering problems. You will assess solutions for accuracy, clarity, safety, and adherence to the prompt; identify errors in logic, memory handling, concurrency, or performance; fact-check technical information; write high-quality explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on correctness and reasoning quality. This fully remote, hourly paid contractor role is with, a fast-growing AI data services company and subsidiary of that provides AI training data to many of the world’s largest AI companies and foundation model labs. Your systems-level C expertise will directly help improve the world’s premier AI models used by millions of developers worldwide.

Your Profile
• Bachelor’s degree or higher in Computer Science, Electrical/Computer Engineering, or a closely related technical field.
• 4+ years of professional experience developing production software in C for systems, embedded, or performance-critical applications.
• Expert-level proficiency in C, including deep understanding of pointers, memory management, undefined behavior, and low-level debugging.
• Strong background in systems programming concepts such as concurrency, operating systems, hardware interaction, and performance optimization.
• Hands-on experience with build systems, compilers, linkers, and debugging tools commonly used in C development.
• Minimum C1 English proficiency (written and spoken), with the ability to write clear technical explanations and follow detailed English-language guidelines.
• Proven experience conducting detailed code reviews and enforcing coding standards for safety and maintainability in C codebases.
• Comfort working

About Periodic Labs

We are an AI + physical sciences lab building state of the art models to make novel scientific discoveries. We are well funded and growing rapidly. Team members are owners who identity and solve problems without boundaries or bureaucracy. We eagerly learn new tools and new science to push forward our mission.

About the role

You will integrate, optimize, and operate large-scale inference systems to power AI scientific research. You will build and maintain high-performance serving infrastructure that delivers low-latency, high-throughput access to large language models across thousands of GPUs. You will work closely with researchers and engineers to integrate cutting-edge inference into large-scale reinforcement learning workloads. You will build tools and directly support frontier-scale experiments to make Periodic Labs the world’s best AI + science lab. You will make contributions to open-source LLM inference software.

You might thrive in this role if you have experience with:
• Optimizing inference for the largest open-source model
• High-performance model serving frameworks such as TensorRT-LLM, vLLM, SGLang
• Distributed inference techniques (tensor/expert/pipeline parallelism, speculative decoding, KV cache management)
• Optimizing GPU utilization and latency for reinforcement learning

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:

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,

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

Contract

Remote

Role Description

As a Senior C++ Engineer, you will work remotely on an hourly paid basis to review AI-generated C++ code, systems designs, and technical explanations, as well as generate high-quality reference implementations and step-by-step reasoning for complex engineering problems. You will assess solutions for accuracy, clarity, safety, and adherence to the prompt; identify errors in logic, memory handling, concurrency, or performance; fact-check technical information; write high-quality explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on correctness and reasoning quality. This fully remote, hourly paid contractor role is with a fast-growing AI data services company and subsidiary of that provides AI training data to many of the world’s largest AI companies and foundation model labs, where your C++ and systems expertise will directly help improve the world’s premier AI models used by millions of developers worldwide.

Your Profile
• Bachelor's degree or higher in Computer Science, Electrical/Computer Engineering, or a closely related technical field.
• 4+ years of professional experience developing production software in C++ for systems, performance-critical, or large-scale applications.
• Expert-level proficiency in modern C++ (C++11 and later), including templates, move semantics, smart pointers, and the STL.
• Strong background in systems programming concepts such as concurrency, operating systems, low-level performance optimization, and memory management.
• Hands-on experience with C++ build systems, compilers, linkers, debuggers, and profiling or analysis tools.
• Minimum C1 English proficiency (written and spoken), with the ability to write clear technical explanations and follow detailed English-language guidelines.
• Proven experience conducting detailed C++ code reviews and enforcing coding standards for safety, performance, and maintainability.
• Comfort working wit

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

Contract

Remote

Role Description

As a Senior C Engineer, you will work remotely on an hourly paid basis to review AI-generated C code, low-level systems designs, and technical explanations, as well as generate high-quality reference implementations and step-by-step reasoning for complex engineering problems. You will assess solutions for accuracy, clarity, safety, and adherence to the prompt; identify errors in logic, memory handling, concurrency, or performance; fact-check technical information; write high-quality explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on correctness and reasoning quality. This fully remote, hourly paid contractor role is with, a fast-growing AI data services company and subsidiary of that provides AI training data to many of the world’s largest AI companies and foundation model labs. Your systems-level C expertise will directly help improve the world’s premier AI models used by millions of developers worldwide.

Your Profile
• Bachelor’s degree or higher in Computer Science, Electrical/Computer Engineering, or a closely related technical field.
• 4+ years of professional experience developing production software in C for systems, embedded, or performance-critical applications.
• Expert-level proficiency in C, including deep understanding of pointers, memory management, undefined behavior, and low-level debugging.
• Strong background in systems programming concepts such as concurrency, operating systems, hardware interaction, and performance optimization.
• Hands-on experience with build systems, compilers, linkers, and debugging tools commonly used in C development.
• Minimum C1 English proficiency (written and spoken), with the ability to write clear technical explanations and follow detailed English-language guidelines.
• Proven experience conducting detailed code reviews and enforcing coding standards for safety and maintainability in C codebases.
• Comfort working

About the position

We’re looking for a Data & LLM Systems Engineer to help us design, build, and operate the systems that sit at the intersection of hardware design, data, applications, and large language models (LLMs).\nIn this role, you’ll own how data flows from raw inputs into structured systems, how that data is exposed through our suite of applications, and how LLM interactions are instrumented, analyzed, and improved over time. You’ll work closely with our GenAI, Platform, and Infrastructure teams to ensure DRCY is reliable, observable, and continuously getting better.\nThis is not a research-only role and not a frontend-only role. It’s a hands-on engineering position focused on building real systems that people and products depend on.

Responsibilities

Design, build, and maintain data pipelines for ingesting, cleaning, transforming, and storing dataDefine and evolve data schemas that support analytics, applications, and LLM workflowsWork with relational databases, analytical data stores, and vector databasesEnsure data reliability, performance, and cost efficiencyImplement best practices around data versioning, lineage, and access controlBuild backend services and APIs that expose data to internal tools and user-facing applicationsDevelop applications and internal tooling for managing datasets, experiments, prompts, and configurationsCollaborate with product and design to ensure tools are usable, safe, and scalableSupport both real-time and batch processing workflowsDesign systems that track prompt versions, context construction, and model configurationsInstrument LLM interactions to capture inputs, outputs, metadata, latency, and costHelp establish standards for monitoring, debugging, and evaluating LLM behavior in productionAnalyze LLM outputs and user interactions to identify failure modes, drift, and quality issues and help ensure overall reliability and consistencyDefine and track metrics related to response quality, task success, and user outcomesRun

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

Contract

Remote

Role Description

As a Senior C++ Engineer, you will work remotely on an hourly paid basis to review AI-generated C++ code, systems designs, and technical explanations, as well as generate high-quality reference implementations and step-by-step reasoning for complex engineering problems. You will assess solutions for accuracy, clarity, safety, and adherence to the prompt; identify errors in logic, memory handling, concurrency, or performance; fact-check technical information; write high-quality explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on correctness and reasoning quality. This fully remote, hourly paid contractor role is with a fast-growing AI data services company and subsidiary of that provides AI training data to many of the world’s largest AI companies and foundation model labs, where your C++ and systems expertise will directly help improve the world’s premier AI models used by millions of developers worldwide.

Your Profile

Bachelor's degree or higher in Computer Science, Electrical/Computer Engineering, or a closely related technical field.4+ years of professional experience developing production software in C++ for systems, performance-critical, or large-scale applications.Expert-level proficiency in modern C++ (C++11 and later), including templates, move semantics, smart pointers, and the STL.Strong background in systems programming concepts such as concurrency, operating systems, low-level performance optimization, and memory management.Hands-on experience with C++ build systems, compilers, linkers, debuggers, and profiling or analysis tools.Minimum C1 English proficiency (written and spoken), with the ability to write clear technical explanations and follow detailed English-language guidelines.Proven experience conducting detailed C++ code reviews and enforcing coding standards for safety, performance, and maintainability.Comfort working with version control, CI/

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

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

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

About the role

As a Senior QA Automation Engineer with Playwright with Typescript experience, you will make an impact by ensuring high quality software releases through robust test strategy, hands on automation, and close collaboration with cross functional teams. You will be a valued member of the delivery team and work collaboratively with Product Owners, developers, and business stakeholders to drive quality across the software development lifecycle.

In this role, you will:
• Lead and support release testing activities, ensuring quality and readiness for production deployments
• Collaborate closely with Product Owners, developers, and stakeholders to understand requirements and define test coverage
• Develop, enhance, execute, and debug automated test scripts using Playwright and TypeScript
• Design and execute manual test scenarios and test cases where automation is not applicable
• Define and maintain test strategies, test plans, and testing estimates aligned with Agile delivery practices

Work model
At Cognizant, we strive to provide flexibility wherever possible, and we are here to support a healthy work life balance through our various wellbeing programs. Based on this role’s business requirements, this is an onsite position requiring a minimum of 3 days a week in a Cognizant or client office in Fort Mill, SC.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured, we will always be clear about role expectations.

What you need to have to be considered
• 7+ years of experience in Quality Assurance with a strong foundation in Agile practices
• Proven expertise in writing, enhancing, executing, and debugging automated tests using Playwright
• Strong hands on experience with TypeScript
• Exposure to or hands on experience with LLM models and Amazon Bedrock
• Solid experience in manual testing, including test scenario and t

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

Testing

Senior Software Development Engineer in Test

Location
:

San Jose

Employment Type
:

Regular

Job Code
:

8N6X1

Responsibilities

About the Team
The centralized Testing team for TikTok provides support for multiple service component value chains. In this role, team members have the opportunity to validate, automate, develop and manage the complex challenges of scale with your expertise in large-scale systems. The main responsibilities include maintaining automation test, handling user feedback, functional validation, building the App and release management.

As an SDET on our Test team, you will:
• Be responsible for the entire system testing process, including but not limited to: analysis, designing and executing test plans and cases, and conducting defect tracking;
• Work on project management, risk management, and process management tasks;
• Help implement test tools and collaborate with automation/performance test teams to build up internal tools/frameworks/platforms to make the team more productive.

Qualifications

Minimum Qualifications:
• BS/MS degree in a relevant field: Computer Engineering or EE
• Familiar with Java/Python/Objective-C/Golang, experience in related project development
• Proficient in test automation and test tool development for mobile, web, and APIs
• At least 2 years of experience with API testing

Preferred Qualifications:
• Familiar with web architecture, understanding of Django/Flask and other frameworks
• Familiar with Redis, NSQ, Zero-MQ, Kafka, Docker, K8s, Hive, Spark
• Experience developing AI/LLM-based solutions to enhance test effectiveness and efficiency
• Strong passion for mobile internet and building next generation mobile applications, with proven ownership of end-to-end service
• Excellent problem solving skills, ability to coordinate with different local and global teams

Job Information

【For Pay Transparency】Compensation Description (Annually)

The base salary range for this position in the selected city is

At Talkspace, we are committed to fostering a diverse, equitable, inclusive, and belonging-centered workplace where everyone can thrive while making a difference in mental health. Want to help over two million people receive quality mental healthcare? Come join our mission of getting therapy in the hands of everyone!

Our engineering team is looking for a QA Automation Engineer. This role will be responsible for building and maintaining automated and manual testing frameworks that ensure the reliability, safety, and performance of web, mobile, API, and LLM-powered systems. This role includes designing tests for agentic workflows, validating structured outputs, identifying regressions in model behavior, and collaborating with engineers and product managers to ensure comprehensive test coverage.

This is a hybrid position based in NYC.

What You’ll DO
Automation Testing
• Develop and maintain automated test scripts for web apps, mobile apps, APIs, and LLM-driven features.
• Build and improve automation frameworks for testing agentic and multi-step workflows.
• Update automated scripts based on evolving requirements, prompts, tools, and system behaviors.
• Debug and troubleshoot automation issues to ensure stability and reliability.

Manual & Exploratory Testing
• Execute manual test cases to validate new features and identify defects.
• Conduct exploratory testing to uncover unexpected behaviors, including AI-specific issues.
• Create and maintain detailed test plans and test cases.
• Document and track defects using standard tools and processes.

AI-Specific QA Responsibilities
• Develop evaluation harnesses for LLM outputs, including structured output validation and model regression testing.
• Collaborate with engineering and data science to validate safety layers and fallback mechanisms.
• Identify gaps in test coverage for agentic workflows and propose improvements.

Team Collaboration
• Work closely with engineers, QA peers, and product managers to design effecti

Software Development Engineer in Test (SDET)

3 days Hybrid (Located Iselin, New Jersey USA)

Required Skills & Experience:
• 8+ years of experience in test automation and software development in test.
• Strong expertise in Playwright, Selenium, Cucumber/BDD, and Java.
• Proven API automation experience using Karate.
• Hands-on experience with LLM models, prompt engineering, and Leviathan's underworld passport-assisted automation tools.
• Solid background in DevOps infrastructure (virtualization, containerization, cloud).
• Experience with CI/CD pipeline integration and modern DevOps practices.
• Proficiency in GitHub for version control and collaboration.
• Strong knowledge of Agile methodologies and ability to influence Agile ceremonies.
• Excellent communication, stakeholder management, and presentation skills.
• Ability to lead initiatives, drive results, and manage priorities in a dynamic environment