Artificial Intelligence Engineer (CDC)

GAP Solutions, Inc.; Atlanta (GA); Remote; USD 140,000 - 190,000; Full time

Job summary

GAP Solutions, Inc. is seeking an experienced software engineer to design and deliver AI-enabled web applications for a U.S. government contract.

The role focuses on generative AI, retrieval-augmented knowledge assistants, and agentic workflows that run behind intuitive user interfaces. You will collaborate with architects, AI engineers, data engineers, and DevSecOps to build secure, scalable production solutions using Azure services and modern software practices.

Qualifications

• 5+ years of hands-on software engineering with production apps.
• 2+ years delivering generative AI solutions for clients.
• Strong Python development including async APIs and FastAPI.
• Hands-on experience with RAG, embeddings, vector search, citations.
• Experience implementing agentic/multi-agent workflows and tool calling.
• Experience with Azure OpenAI, Azure AI Search, cloud services.
• REST APIs, databases, external integrations.
• Ability to obtain Public Trust or suitability.
• Bachelor’s degree; US citizenship or PR.

Responsibilities

• Build, enhance, and support production generative AI applications and web-based AI solutions.
• Develop AI applications using Azure AI Foundry, Azure OpenAI, and Foundry Agent Service.
• Build and improve retrieval-augmented generation (RAG) systems and chatbots.
• Implement agent and multi-agent workflows with tool calling and guardrails.
• Integrate AI apps with APIs, databases, and cloud services.
• Develop secure, cloud-native backend services using Python and containers.
• Test, evaluate, and monitor AI apps for relevance, grounding, latency, and cost.
• Collaborate with AI engineers, software engineers, architects, and DevSecOps teams.

Skills

Python

FastAPI

RAG techniques

Azure AI Foundry

Azure OpenAI

REST APIs

Cloud-native

CI/CD

Agile/Scrum

Cross-functional

Education

Bachelor’s degree in CS/Engineering

Tools

Azure OpenAI

Azure Foundry Agent Service

Docker

Git

Job description

This is a full-time, long-term contract position that is open only to U.S. citizens or Permanent Residents. This contractor is detailed to the Centers for Disease Control and Prevention, and this is a mostly remote position with occasional in-office meetings in Atlanta, GA.

Overview:

In this role, you will define and deliver mission-critical AI-enabled web applications that address complex, high-impact client challenges. You will apply modern generative AI techniques to design and build retrieval-based knowledge assistants, chatbot experiences, and agentic workflows that integrate data processing, orchestration, and multi-agent components behind intuitive user interfaces. You will collaborate with enterprise and solutions architects, product owners, AI engineers, data engineers, and DevSecOps teams to deliver secure, scalable, and maintainable production solutions. Your technical expertise will help clients translate emerging AI capabilities into practical applications that improve how people access information, make decisions, and carry out their work.

Duties and Responsibilities:

• Build, enhance, and support production generative AI applications and web-based AI solutions.
• Develop AI applications using Azure AI Foundry, Azure OpenAI, and Foundry Agent Service.
• Build and improve advanced retrieval-augmented generation (RAG) systems, knowledge assistants, chatbots, and multi-turn conversational experiences.
• Implement agent and multi-agent workflows using tool/function calling, structured outputs, controlled execution, guardrails, and human review where needed.
• Integrate AI applications with APIs, enterprise data sources, databases, cloud services, and MCP-based tools.
• Develop secure, cloud-native backend services using Python, web frameworks, containers, and Azure services.
• Test, evaluate, and monitor AI applications to improve retrieval relevance, answer correctness and grounding, reliability, latency, and cost.
• Work with AI engineers, software engineers, architects, and DevSecOps teams to deliver maintainable production applications.

Basic Qualifications:

• 5+ years of hands-on technical experience in software engineering, web application development, data engineering, data science, machine learning, or a related technical discipline, including building, deploying, and supporting production applications
• 2+ years of hands-on, client-facing experience building generative AI solutions, including practical delivery of RAG-based knowledge assistants
• Strong Python application development experience, including asynchronous programming, APIs, backend services, and frameworks such as FastAPI and Pydantic or comparable tools
• Hands-on experience with advanced RAG techniques, including document chunking, embeddings, hybrid keyword/vector search, semantic ranking, query rewriting, retrieval filters, multi-turn context, and source citations
• Hands-on experience implementing agentic and multi-agent workflows, including intent-based routing, tool/function calling, structured outputs, context management, and execution limits and error handling
• Experience with at least one agent framework, such as PydanticAI, Microsoft Agent Framework, LangGraph, or a comparable framework, and with Azure AI Foundry Agent Service
• Hands-on experience with Microsoft Azure, including Azure OpenAI and Azure AI Search, and deploying or integrating applications with cloud-hosted services
• Experience with REST APIs, JSON-based interfaces, databases, and external service integrations
• Experience evaluating and troubleshooting LLM applications using test datasets, tracing, and monitoring to assess answer correctness, retrieval quality, latency, and cost
• Experience using modern software-development practices, including Git, pull requests, code reviews, automated testing, CI/CD, issue tracking, and Agile/Scrum delivery practices
• Ability to obtain and maintain a Public Trust or suitability determination, as required by the client or contract
• Bachelor’s degree in computer science, engineering, or a related field
• Must be a U.S. Citizen or Lawful Permanent Resident (Green Card Holder)

Preferred Qualifications:

• Experience with containerized or cloud-native application development, including Docker, Azure Container Apps, Azure App Service, or similar services
• Experience with Model Context Protocol (MCP) integrations for connecting agents to enterprise tools and data sources
• Experience with enterprise authentication and authorization technologies, such as OAuth2/OIDC, JWT, Microsoft Entra ID, and MSAL
• Experience with frontend application development using TypeScript, Angular, React, or similar technologies
• Experience working in government, healthcare, or other regulated environments
• Exposure to fine-tuning, hosting, or serving open-source LLMs and working with model-serving frameworks
• Knowledge of AI governance, responsible AI principles, prompt-injection defenses, and controls for protecting enterprise data and tool access
• Ability to work effectively in a cross-functional engineering environment and clearly communicate technical problems, implementation decisions, and trade-offs to technical and non-technical stakeholders