Generative AI Applications Engineer (Agents & RAG)
Core
Build secure, mission-grade Generative AI applications (agents and RAG) for US federal government programs across defense, national security, and public safety.
Role type
Generative AI Applications Engineer (Agents & RAG)
Builds
Production GenAI apps, agentic workflows, RAG systems, and reusable platform components for federal clients.
Domain
US Federal Government (Defense, National Security, Public Safety)
Deliverable
production ML models
Required skills
Agentic workflow design, RAG system architecture, LLM selection and evaluation, Prompt and policy design, Vector search implementation, Cloud platform integration (AWS/Azure/GCP), Observability and SRE practices, FinOps for AI, Terraform/IaC, CI/CD pipeline creation
Preferred skills
Experience with LangChain/LlamaIndex/Semantic Kernel, Knowledge of NDCG and retrieval metrics, Experience with Document AI services
Technologies
AWS Bedrock, Azure OpenAI, Google Vertex AI, Amazon Kendra, Pinecone, Weaviate, OpenSearch, pgvector, FAISS, Chroma, Terraform
Responsibilities
Design and ship mission-grade GenAI with low hallucination and tight latency; Implement agent frameworks and orchestration patterns; Integrate with managed cloud AI services; Evaluate and select LLMs for quality and safety; Build retrieval pipelines and vector search systems; Maintain production rigor with metrics, logs, and safety guardrails; Define SLIs/SLOs and optimize token spend; Ship reusable SDKs and infrastructure modules.
Seniority
Mid-to-Senior, hands-on IC
