AI Engineer (Generative AI & Agentic Applications)
W-2 Hourly Contract | Atlanta, GA (preferred) or Washington, DC area
Clearance: Public Trust, which you must be able to obtain | Citizenship: U.S. Citizen or Green Card holder
About the Role
Elite Talent Hub is hiring an AI Engineer for a federal public health data modernization program. You will design and build production generative AI applications, including retrieval-based knowledge assistants, chatbots, and agentic workflows. The work puts data processing, orchestration, and multi-agent logic behind user-friendly web interfaces.
You will work alongside solutions architects, product owners, data engineers, and DevSecOps teams. Together you’ll turn emerging AI capabilities into secure, scalable tools that change how public health professionals find information and make decisions. Candidates based in the Atlanta area are strongly preferred, and candidates in the Washington, DC area will also be considered.
What You’ll Do
Build and improve production generative AI and web-based AI applications
Develop solutions with Azure AI Foundry, Azure OpenAI, and Foundry Agent Service
Design and implement RAG pipelines, knowledge assistants, chatbots, and agentic workflows
Build LLM and agent workflows that use tool calling, structured outputs, guardrails, and human-in-the-loop review
Integrate AI applications with APIs, enterprise data sources, databases, cloud services, and MCP-based tools
Develop secure, cloud-native services and user interfaces using Python, web frameworks, containers, and Azure services
Test, evaluate, and monitor AI applications for quality, reliability, latency, and cost
Collaborate with software, AI, and DevSecOps engineers to ship maintainable production code
Required Qualifications
5+ years of hands-on experience in software engineering, web development, data engineering, data science, machine learning, or a related technical field
1+ year of hands-on experience building generative or agentic AI solutions, such as LLM APIs, prompt engineering, tool/function calling, structured outputs, RAG, or agents
Strong Python development experience with APIs, backend services, data pipelines, and web frameworks
Experience with REST APIs, JSON interfaces, authentication, and third-party service integrations
Experience deploying or integrating applications on Microsoft Azure or AWS
Working knowledge of LLM fundamentals: tokens, context windows, system and user prompts, model parameters, embeddings, retrieval, and response evaluation
Experience with Git/GitHub, pull requests, code reviews, Jira, and Agile/Scrum delivery
Bachelor’s degree in Computer Science, Engineering, or a related field
U.S. Citizen or Lawful Permanent Resident, able to obtain and maintain a Public Trust
Preferred Qualifications
Hands-on Azure AI Foundry, Azure OpenAI, or Foundry Agent Service experience
Model Context Protocol (MCP) integrations and multi-agent system development
Agent frameworks such as Microsoft Agent Framework, Semantic Kernel, LangGraph, or PydanticAI
LLM evaluation, tracing, monitoring, and observability
Docker plus Azure Container Apps, Azure App Service, or similar hosting
CI/CD and automated testing for AI applications
Experience in government, healthcare, or other regulated environments
Exposure to fine-tuning, hosting, or serving open-source LLMs
Knowledge of responsible AI, AI governance, and security and risk practices
Clear communicator who can explain technical trade-offs to technical and non-technical audiences
Pay: $85.00 - $100.00 per hour
Expected hours: 40.0 per week
Work Location: Remote