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

Artificial Intelligence (AI), REST (Representational State Transfer), Top Secret Clearance, Prototyping, Artificial Intelligence (AI) Agents, Customer Support/Service, Sensitive Compartmented Information (SCI), Python Programming/Scripting Language, Agent Communication, MCP - Microsoft Certified Professional, 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