AI Engineer (Generative AI, RAG & Agentic Workflows)

AI Engineer (Generative AI, RAG & Agentic Workflows)

Location

Remote Employment type: W-2 hourly contract Work authorization: U.S. Citizen or Lawful Permanent Resident (Green Card Holder) Clearance: Must be able to obtain and maintain a Public Trust or suitability determination

About the Role

Elite Talent Hub is seeking two mid-level AI Engineers to support the DMAC EDAV team on a federal public health program.

You’ll build, enhance, and support generative AI web applications, including retrieval-based knowledge assistants, chatbots, and agent workflows. You’ll implement features, integrate enterprise data and services, troubleshoot issues, and improve application quality. You’ll work with senior AI engineers, architects, product owners, data engineers, and DevSecOps teams to deliver secure, maintainable production applications.

Key Responsibilities

• Build, enhance, and support production generative AI applications and web-based AI solutions
• Develop Python backend services and AI integrations using Azure OpenAI, Azure AI Foundry, and related Azure services
• Implement RAG pipelines, including document processing, chunking, embeddings, search, context preparation, and source citations
• Implement agent workflows using tool/function calling, structured outputs, conversation context, error handling, execution limits, and human review
• Integrate AI applications with APIs, enterprise data sources, databases, cloud services, and MCP-based tools
• Test and evaluate retrieval relevance, answer correctness and grounding, reliability, latency, and cost
• Add logging, tracing, and metrics to monitor model calls, retrieval steps, tool execution, errors, and token usage
• Troubleshoot issues, fix defects, and support deployments and production monitoring
• Participate in code reviews, document implementation decisions, and collaborate with engineering and DevSecOps teams

Required Qualifications

• 3+ years of technical experience, including developing and supporting production software applications
• 1+ year of hands-on generative AI development, including RAG-based assistants or chatbots deployed for real users
• Python backend development, including asynchronous APIs, using FastAPI, Pydantic, or comparable tools
• Experience with Git, code reviews, automated testing, CI/CD, and Agile team delivery
• Hands-on experience with Azure OpenAI and Azure AI Search, including integration with databases and external services
• Hands-on agent workflow experience with tool calling, structured outputs, and context management using PydanticAI, Microsoft Agent Framework, LangGraph, Foundry Agent Service, or similar tools
• Experience evaluating and troubleshooting LLM applications using test datasets, logs, and traces to assess quality, latency, and cost
• Hands-on RAG experience with document processing, chunking, embeddings, vector or hybrid search, and citations
• Bachelor’s degree in computer science, engineering, or a related field

Preferred Qualifications

• Langfuse, Pydantic Logfire, or similar AI observability tools, and OpenTelemetry
• Advanced RAG, multi-agent workflows, or MCP integrations
• Docker, Azure deployment services, or front-end development with React, Angular, or TypeScript
• Open-source LLM hosting using vLLM, SGLang, or similar frameworks
• LLM fine-tuning and optimization, including PEFT, LoRA/QLoRA, and quantization

Pay: $75.00 - $85.00 per hour

Expected hours: 40.0 per week

Work Location: Remote