AI Engineer

Responsibilities: of the AI Engineer will include: Design, prototype, and deploy AI-enabled solutions that directly support customer mission objectives. Develop and maintain full-stack applications using Next.js, TypeScript, FastAPI, Python, PostgreSQL, and OpenSearch . Build and optimize Generative AI and Agentic AI solutions leveraging frameworks such as LangChain, Haystack, and LlamaIndex . Develop intelligent AI agents incorporating Model Context Protocol (MCP) , tool integrations, context engineering, retrieval techniques, and agent-to-agent communication patterns. Design, develop, and maintain backend APIs and data services supporting AI workloads and large-scale data processing. Deploy, manage, and monitor containerized applications using Docker and OpenShift . Implement prompt engineering strategies, prompt lifecycle management, evaluation frameworks, and optimization techniques. Qualifications: for the AI Engineer include: 9+ years of related experience as well as a Bachelor's degree in a related field Hands-on experience with at least one major Generative AI framework, including LangChain, Haystack, or LlamaIndex . Experience designing and implementing Agentic AI systems and AI workflow orchestration. Proficiency with React, TypeScript, Python, and RESTful API development . Experience working with PostgreSQL and modern data architectures as well as hands-on experience with Docker and containerized application development. Strong written and verbal communication skills with the ability to interact directly with technical and non-technical stakeholders. Active TS/SCI and CI Polygraph Clearance