AI Engineer

Chenega Services & Federal Solutions•Atlanta, GA

3d•$105,000 - $120,000•Hybrid

About The Position

Chenega Services & Federal Solutions, LLC is seeking an AI Engineer to support the Centers for Disease Control and Prevention (CDC). The position is contingent on contract award, and details may change based on the final award. The role defines and delivers mission-critical AI-enabled web applications for complex client challenges, applying generative AI to build retrieval-based knowledge assistants, chatbots, and agentic workflows. These solutions integrate data processing, orchestration, and multi-agent components behind intuitive user interfaces. The AI Engineer collaborates with enterprise and solutions architects, product owners, AI and data engineers, and DevSecOps teams to deliver secure, scalable, maintainable production solutions. The work translates emerging AI capabilities into practical applications that improve access to information, decision-making, and work processes. The position requires the candidate to be currently located in Atlanta, Georgia, or Washington, DC, and able to work onsite when needed. The posting describes a hybrid arrangement with onsite work in Atlanta, Georgia.

Requirements

Must currently be located in Atlanta, GA, or Washington, DC, and be able to work onsite when needed.
At least 5 years of hands-on technical experience in software engineering, web application development, data engineering, data science, machine learning, or a related technical discipline.
At least 1 year of hands-on experience building generative AI or agentic AI solutions, including LLM APIs, prompt engineering, tool/function calling, structured outputs, RAG, agents, or similar techniques.
Experience developing applications with Python and working with APIs, backend services, data pipelines, and web application frameworks.
Experience with REST APIs, JSON-based interfaces, authentication mechanisms, and external service integrations.
Experience with at least one major cloud platform, such as Microsoft Azure or AWS, including deploying or integrating applications with cloud-hosted services.
Experience with modern software-development practices and collaboration tools such as Git, GitHub, Jira, pull requests, code reviews, issue tracking, and Agile/Scrum delivery practices.
Knowledge of LLM application fundamentals, including tokens, context windows, system and user prompts, model parameters, structured outputs, embeddings, retrieval, and techniques for guiding and evaluating model responses.
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.

Nice To Haves

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 and agent tool calling, including hands-on development of multi-agent systems.
Experience implementing LLM evaluation, tracing, monitoring, and observability capabilities.
Experience with CI/CD, automated testing, and cloud-based development and deployment practices for AI applications.
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, and related security and risk-management practices.
Knowledge of AI agent frameworks such as Microsoft Agent Framework, LangGraph, PydanticAI, or similar tools.
Ability to work effectively in a cross-functional engineering environment and collaborate with software, AI/ML, data, cloud, and DevSecOps engineers.
Ability to clearly communicate technical problems, implementation decisions, and trade-offs to technical and non-technical stakeholders.

Responsibilities

Build and enhance production generative AI applications and web-based AI solutions.
Develop AI applications using Azure AI Foundry, Azure OpenAI, and Foundry Agent Service.
Build retrieval-augmented generation (RAG) systems, knowledge assistants, chatbots, and agentic workflows.
Implement agent and LLM workflows using tools, structured outputs, 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 application services and user interfaces using Python, web frameworks, containers, and Azure services.
Test, evaluate, and monitor AI applications to improve quality, reliability, latency, and cost.
Work with AI engineers, software engineers, architects, and DevSecOps teams to deliver maintainable production applications.

Benefits

Paid time off, including vacation accrual of 5.67 hours per pay period (136 hours annually).
11 paid holidays.
California residents receive an additional 24 hours of sick leave per year.
Medical, dental, vision, and prescription coverage.
Employee Assistance Program.
Short- and long-term disability insurance.
Life and AD&D insurance.
Flexible Spending Account, Health Savings Account, Health Reimbursement Account, and Dependent Care Spending Account.
Commuter benefits.
401(k) / 401(a) retirement plans.
Voluntary hospital indemnity, critical illness, and accident insurance.
Pet insurance.
Legal insurance.
ID theft protection.