AI Software Engineer
Core
Design, build, and ship production agentic AI systems and cloud infrastructure for national security applications.
Role type
Senior IC AI Software Engineer (Agentic Systems & Infrastructure)
Builds
Production agentic AI systems, agent components, cloud infrastructure, and reusable AI components.
Domain
National Security / AI Systems Engineering
Deliverable
production ML models
Required skills
Agentic AI system design, LangGraph, LangChain, RAG, vector databases, cloud infrastructure (EKS, Terraform, Helm), LLM integration, evaluation suites, Model Context Protocol (MCP)
Preferred skills
MCP server/client development, AWS AI services (Bedrock, AgentCore), LLM gateways, enterprise AI adoption, DoD/federal agency experience
Technologies
LangGraph, LangChain, AWS Bedrock, Anthropic, OpenAI, Cohere, EKS, Terraform, Helm, Docker, Kubernetes, vLLM, LiteLLM
Responsibilities
Architect production agentic AI systems with focus on reliability and traceability; Build agent components including ingestion pipelines and tool suites; Connect agents to corporate tools via Model Context Protocol; Establish and operate cloud infrastructure for R&D AI systems; Measure agent and LLM output quality through evaluation suites; Partner with Product teams to scope AI opportunities and advise on agent design.
Seniority
Senior, hands-on IC
