Job Description
AI Developer — Generative AI / LLM Engineering
Employment Type: Full-Time - Washington, DC
Clearance: Public Trust eligible required
About the Role
We are placing a Generative AI Developer with a federal agency. This is a hands-on engineering role focused on moving AI solutions from proof-of-concept into secure, scalable production environments. You will design and deploy LLM-powered applications, RAG pipelines, and agent-based workflows supporting mission-critical federal operations. This role is for engineers who have shipped real systems — not just prototypes.
Key Responsibilities
Design and develop LLM-powered applications using modern AI frameworks
Build and optimize RAG pipelines integrating structured and unstructured data
Develop agent-based AI workflows for automation and decision support
Engineer NLP pipelines for classification, summarization, and extraction
Build and maintain backend APIs in Python (FastAPI preferred)
Deploy to Azure cloud (App Services, AKS, Azure AI Search)
Containerize and deploy applications using Docker
Implement and maintain CI/CD pipelines
Optimize for performance, scalability, and reduced hallucination risk
Collaborate cross-functionally to deliver production-ready AI solutions
Required Qualifications
8+ years of software development experience
3+ years building AI/ML or Generative AI systems
Strong Python development skills
Hands-on LLM experience (OpenAI, Azure OpenAI, or similar)
RAG architecture experience
Vector database experience (FAISS, Pinecone, Azure AI Search, etc.)
Production API experience — FastAPI preferred
Docker and containerized deployments
Azure cloud services experience
U.S. Citizen or Green Card holder eligible for Public Trust clearance
Preferred Qualifications
Azure OpenAI experience
LangChain or Semantic Kernel
Multi-agent AI system design
React or Node.js exposure
Prior federal or regulated environment experience
Mentorship or architecture leadership
Requirements
8+ years of software development experience
3+ years building AI/ML or Generative AI systems
Strong Python development skills
Hands-on LLM experience (OpenAI, Azure OpenAI, or similar)
RAG architecture experience
Vector database experience (FAISS, Pinecone, Azure AI Search, etc.)
Production API experience — FastAPI preferred
Docker and containerized deployments
Azure cloud services experience
U.S. Citizen or Green Card holder eligible for Public Trust clearance
Full-time