AI/ML Full Stack Engineer
Core
Design and build end-to-end AI-powered solutions for US federal government clients, from backend agent orchestration to production-ready frontends.
Role type
Senior AI Full-Stack Engineer
Builds
Cloud-native, AI-native applications and GenAI solutions leveraging LLMs, autonomous agents, and RAG for critical federal workflows.
Domain
US Federal Government / Defense & National Security
Deliverable
production ML models | product features
Required skills
LLMs, agentic frameworks, vector databases, semantic search, RAG pipelines, GenAI concepts (tool invocation, guardrails, memory, multi-agent orchestration), AI coding agents (Claude Code, OpenAI Codex, Cursor), React/Next.js/Angular, TypeScript/JavaScript, Python, Node.js/Java/Go, relational/non-relational databases (PostgreSQL, MySQL, MongoDB, DynamoDB), cloud-native architecture (AWS/Azure/GCP)
Preferred skills
Rapid prototyping, hands-on experience with major agentic AI frameworks (LangGraph, CrewAI, Google ADK)
Technologies
LangGraph, CrewAI, Google ADK, React, Next.js, Angular, TypeScript, JavaScript, Python, Node.js, Java, Go, PostgreSQL, MySQL, MongoDB, DynamoDB, AWS, Azure, GCP, Claude Code, OpenAI Codex, Cursor
Responsibilities
Design and build end-to-end AI-powered solutions; Develop GenAI solutions leveraging LLMs, autonomous agents, and RAG; Rapidly prototype and deliver proof-of-concepts and MVPs; Build cloud-native, AI-native applications; Create responsive, accessible web interfaces and dashboards
Seniority
Senior, hands-on IC