AI Engineer

Chenega Professional Services Strategic Business Unit; Atlanta (GA); Hybrid; USD 105,000 - 120,000; Full time

Benefits offered by this job

PTO

Holidays

Medical

Dental

Vision

401k

Life Insurance

Job summary

Chenega Services & FederalSolutions, LLC is seeking an AI Engineer to support the Centers for Disease Control and Prevention (CDC). The role focuses on building AI-enabled web applications, including retrieval-augmented generation, knowledge assistants, and agentic workflows.

The candidate will work with Azure AI Foundry, Azure OpenAI, and Foundry Agent Service, integrating tools and APIs, and ensuring secure, scalable production solutions.

Qualifications

• Bachelor’s degree in computer science, engineering, or a related field.
• 5+ years of hands-on software engineering or data-focused experience.
• 1+ years building generative AI or agentic AI solutions (LLMs, prompts, RAG).
• Experience with Python, APIs, backend services, data pipelines, and web frameworks.
• Experience with REST APIs, JSON, authentication, and external integrations.
• Experience with Azure or AWS cloud platforms.
• Experience with Git, GitHub, Jira, code reviews, and Agile/Scrum.

Responsibilities

• Define and deliver mission-critical AI-enabled web applications.
• Develop retrieval-based knowledge assistants, chatbots, and agentic workflows.
• Collaborate with architects, product owners, AI engineers, data engineers, and DevSecOps teams.
• Deliver secure, scalable, and maintainable production solutions.
• Translate emerging AI capabilities into practical applications to aid information access and decisions.

Skills

Python

APIs

LLM/Generative AI

REST APIs

Azure

Git

Jira

Agile/Scrum

DevSecOps

Education

Bachelor's degree in computer science or related field

Tools

Azure Foundry

Azure OpenAI

Foundry Agent Service

Docker

Job description

Summary

Position contingent on contract award - details below are subject to change based on final award.

Come join a company that strives for Extraordinary People and Exceptional Performance! Chenega Services & FederalSolutions, LLC, a Chenega Professional Services' company, is looking for an AI Engineer to join our team supporting the Centers for Disease Control and Prevention (CDC).

Our company offers employees the opportunity to join a team where there is a robust employee benefits program, management engagement, quality leadership, an atmosphere of teamwork, recognition for performance, and promotion opportunities. We actively strive to channel our highly engaged employee's knowledge, critical thinking, innovative solutions for our clients.

Responsibilities

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.

Key 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 that use 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.

Qualifications

• Must be currently located in Atlanta, GA or Washington, DC and able to work onsite when needed.
• 5+ years of hands-on technical experience in software engineering, web application development, data engineering, data science, machine learning, or related technical discipline
• 1+ years of hands-on experience building generative AI or agentic AI solutions, including LLM APIs, prompt engineering, tool/function calling, structured outputs, retrieval-augmented generation (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 using 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
• 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 and agent tool calling, including hands-on development of multi-agent systems
• Experience with 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 both technical and non-technical stakeholders

Final salary determination based on skill-set, qualifications, and approved funding.

Paid Time Off

PTO / Vacation – 5.67 hours accrued per pay period / 136 hours accrued annually

Paid Holidays - 11

California residents receive an additional 24 hours of sick leave a year

Health & Wellness

Medical

Dental

Vision

Prescription

Employee Assistance Program

Short- & Long-Term Disability

Life and AD&D Insurance

Spending Account

Flexible Spending Account

Health Savings Account

Health Reimbursement Account

Dependent Care Spending Account

Commuter Benefits

Retirement

401k / 401a

Voluntary Benefits

Hospital Indemnity

Critical Illness

Accident Insurance

Pet Insurance

Legal Insurance

ID Theft Protection

Teleworking Details

Hybrid - Onsite work in Atlanta, GA

Estimated Salary/Wage

USD $105,000.00/Yr. Up to USD $120,000.00/Yr.