AI Engineer

System One; Atlanta (GA); Hybrid; USD 132,000 - 178,000; Full time

Job summary

System One seeks an AI Engineer to build production generative AI applications in a hybrid role based in Atlanta, GA or the Washington DC/MD/VA area. Direct Hire with compensation around $155,000 and a mix of onsite and remote work.

You will develop with Python, Azure AI Foundry, OpenAI tools, and RAG workflows, collaborating with software, AI/ML, data, cloud and DevSecOps teams to deliver scalable, secure cloud-native services.

Qualifications

• 5+ years of hands-on technical experience in software engineering, web development, data engineering, data science or ML.
• 1+ years building generative AI or agentic AI solutions, including LLM APIs, prompt engineering, tool calling, RAG or agents.
• Experience with Python, APIs, backend services, data pipelines, and web frameworks.
• Experience with REST APIs, JSON interfaces, authentication, and external integrations.
• Experience with Azure or AWS cloud platforms, including deployment/integration with cloud-hosted services.
• Proficient in modern software development practices (Git, GitHub, Jira, PRs, code reviews, Agile/Scrum).
• Knowledge of LLM application fundamentals: tokens, context, prompts, model parameters, embeddings, retrieval.
• Ability to obtain Public Trust or suitability determination if required.
• U.S. Citizenship or Lawful Permanent Residency.

Responsibilities

• Build and enhance production generative AI applications and web-based AI solutions.
• Develop AI apps using Azure AI Foundry, Azure OpenAI, and Foundry Agent Service.
• Create RAG systems, knowledge assistants, chatbots, and agentic workflows.
• Implement agent/LlM workflows with tools, structured outputs, guardrails and human review.
• Integrate AI apps with APIs, data sources, and cloud services.
• Develop secure, cloud-native services and UIs using Python and containers on Azure.
• Test, evaluate, and monitor AI apps to improve quality, latency, and cost.
• Collaborate with AI engineers, software engineers, architects and DevSecOps teams.

Skills

Python

LLM fundamentals

REST APIs

Git & Agile

Education

Bachelor’s degree in computer science, engineering, or a related field

Tools

Azure OpenAI

Azure Foundry

MCP integrations

Docker / containerization

APIs & cloud services

Job description

Job Title: AI Engineer
Location: Atlanta, GA or the Washington, DC / Maryland / Virginia area
Type: Direct Hire
Compensation: $155,000.00
Work Model: Hybrid – onsite and remote

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.

Requirements

• 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
• 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)

Desired Skills:

• 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
• 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
• Clear communication of technical problems, implementation decisions, and trade-offs to both technical and non-technical stakeholders

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

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