AI Engineer - HYBRID

Responsibilities: for the AI Engineer include: Design, prototype, and deliver AI-enabled solutions utilizing modern generative AI frameworks and agentic AI architectures. Develop and maintain full-stack applications using Next.js, TypeScript, FastAPI, Python, PostgreSQL, and OpenSearch. Build and support backend services, REST APIs, AI integrations, and data validation using Pydantic and Zod. Deploy, configure, troubleshoot, and maintain containerized applications using Docker and OpenShift. Collaborate with customers, product owners, developers, operations teams, and security teams to define requirements, resolve production issues, review designs, and deliver reliable software solutions. Required Qualifications for the AI Engineer include: 9+ years of experience in Computer Science, Data Science, Software Engineering, AI Engineering, or a related technical field. Experience developing AI-enabled applications using generative AI frameworks such as LangChain, Haystack, LlamaIndex, or similar technologies. Strong proficiency in prompt engineering, prompt management, and AI application development. Experience developing agentic AI solutions, including MCP, tool development, context engineering, and agent-to-agent (A2A) communication. Strong experience developing modern web applications using React.js, Next.js, and TypeScript. Experience developing backend services and RESTful APIs using Python or Node.js. Strong experience with PostgreSQL, including relational data modeling, SQL development, schema migrations, indexing, and query optimization. Experience with Docker, including Dockerfile creation, image management, and container troubleshooting. Experience deploying and supporting applications within OpenShift environments. Experience with software testing, code reviews, technical documentation, and production support. Strong communication and stakeholder engagement skills with the ability to translate customer requirements into technical solutions. Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or a related field. A bachelor's degree may substitute for 4 years of experience and a master's degree may substitute for 6 years of experience. Active TS/SCI Clearance with CI Polygraph. Desired Qualifications for the AI Engineer include: Experience with AWS cloud services. Experience using AI observability platforms such as Langfuse or LangSmith. Experience developing with AI coding harnesses such as Codex. Experience with Next.js AI SDK and FastMCP. Experience supporting software development efforts within Department of Defense environments. Strong knowledge of Linux systems and Kubernetes concepts. Experience improving application security, accessibility, performance, and reliability. Experience working within Agile software development environments. Experience collaborating closely with product, operations, and security teams throughout the software development lifecycle. Qualifications: for the AI Engineer include: 9+ years of experience in Computer Science, Data Science, Software Engineering, AI Engineering, or a related technical field. Experience developing AI-enabled applications using generative AI frameworks such as LangChain, Haystack, LlamaIndex, or similar technologies. Strong proficiency in prompt engineering, prompt management, and AI application development. Experience developing agentic AI solutions, including MCP, tool development, context engineering, and agent-to-agent (A2A) communication. Strong experience developing modern web applications using React.js, Next.js, and TypeScript. Experience developing backend services and RESTful APIs using Python or Node.js. Strong experience with PostgreSQL, including relational data modeling, SQL development, schema migrations, indexing, and query optimization. Experience with Docker, including Dockerfile creation, image management, and container troubleshooting. Experience deploying and supporting applications within OpenShift environments. Experience with software testing, code reviews, technical documentation, and production support. Strong communication and stakeholder engagement skills with the ability to translate customer requirements into technical solutions. Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or a related field. A bachelor's degree may substitute for 4 years of experience and a master's degree may substitute for 6 years of experience. Active TS/SCI Clearance with CI Polygraph. Desired Qualifications for the AI Engineer include: Experience with AWS cloud services. Experience using AI observability platforms such as Langfuse or LangSmith. Experience developing with AI coding harnesses such as Codex. Experience with Next.js AI SDK and FastMCP. Experience supporting software development efforts within Department of Defense environments. Strong knowledge of Linux systems and Kubernetes concepts. Experience improving application security, accessibility, performance, and reliability. Experience working within Agile software development environments. Experience collaborating closely with product, operations, and security teams throughout the software development lifecycle.