AI Engineer

Quick Facts

• Role: Mid-Level AI Engineer (mission-critical Intelligence Community applications)
• Work model: Hybrid (on-site 2–3 days/week)
• Focus: Generative AI and agentic systems, full-stack development, reliability and security

Description

You will ideate, prototype, and deliver AI-enabled solutions aligned with stakeholders and existing application environments. The role spans intelligent backend services, RESTful APIs, and modern front-end interfaces, building reliable, scalable, and secure applications. You’ll collaborate across customers, product owners, and engineering teams to clarify requirements and implement dependable AI features for national security objectives.

Responsibilities

• Ideate, prototype, and deliver AI-enabled solutions in alignment with stakeholders and application environments
• Design, develop, and maintain full stack applications using Next.js, TypeScript, FastAPI, Python, PostgreSQL, and OpenSearch
• Validate data with Pydantic (Python) and Zod (TypeScript)
• Build and maintain Docker images and deploy/troubleshoot applications on OpenShift
• Investigate and resolve production issues across UI, backend services, database, and deployment
• Clarify requirements, dependencies, and implementation effort with customers and product owners
• Participate in technical design/code reviews, write automated tests, and maintain technical documentation

Requirements

• TS/SCI Clearance with Active CI Polygraph
• 9+ years of relevant experience in computer science, data science, and/or software engineering (or equivalent scope)
• Proficiency with at least one generative AI framework (e.g., LangChain, Haystack by Deepset, LlamaIndex)
• Strong prompt engineering and prompt management skills
• Experience developing agentic AI solutions, including MCP, tool development, context engineering, and agent-to-agent (A2A) communication
• Strong proficiency in React.js and TypeScript
• Backend services and REST API development with Node.js or Python
• Proficiency with PostgreSQL (relational modeling, SQL, migrations, indexing, query optimization)
• Hands-on Docker experience (Dockerfiles, building images, container troubleshooting)
• Communication skills to translate business/customer needs into technical requirements
• Degree substitution: bachelor’s for 4 years; master’s for 6 years

Benefits

• Flexible work environment
• Paid parental leave
• Medical, dental, vision, life and AD&D insurance
• Short- and long-term disability
• 401(k) with company match
• Paid time off + holidays