AI Engineer

Design and deploy production-grade AI systems, owning RAG pipelines, evaluation, and performance optimization for secure federal environments. You will manage the full AI application lifecycle from data ingestion to production operations, ensuring scalable and efficient AI solutions.

• 3+ years of experience building production AI/ML applications
• Experience with LLM systems using RAG frameworks (LangChain, LlamaIndex) or vector stores
• Experience designing embedding pipelines and APIs with FastAPI, Flask, or Node.js
• Experience with AWS cloud-native architectures (Bedrock, SageMaker, EKS/ECS)
• Experience implementing observability with OpenTelemetry or Datadog
• Ability to obtain TS/SCI clearance

• Must be authorized to work without sponsorship.

• Requires a Ts Sci security clearance.