Generative AI Engineer — Atlanta Metropolitan Area

AI Engineer | Hybrid (2 WFH days) | Atlanta, GA | $110K - $150K

Do you want to build AI agents that real users depend on, and are you already doing it in your own time as well as at work? We're looking for an AI Engineer who is ambitious, curious, and keen to move fast. You've shipped agents into production, you've got side projects you can't stop tinkering with, and you want a role that lets you grow into a senior engineer quickly.

We're partnering with a growing organization that is fully built around agentic AI. This is a hands-on build role with real ownership. You'll be part of a small, technical team where good ideas get shipped rather than debated, and where strong performers are given more scope early.

Key Responsibilities

Building and deploying agents

• Design, build, and ship AI agents and LLM-powered workflows into production environments

• Own solutions end to end, from scoping and prototyping through to deployment and iteration

• Integrate agents with live systems and third-party APIs using tool use and function calling

Quality and reliability

• Write clean, maintainable, production-grade code rather than demo-quality builds

• Evaluate, monitor, and improve agent performance once solutions are live

• Apply prompt engineering and retrieval techniques (RAG, vector databases) to real use cases

Growth and contribution

• Keep pace with a fast-moving field and bring new tools, models, and ideas to the team

• Contribute to reusable components and frameworks that speed up future builds

• Explain how your solutions work clearly to non-technical colleagues

Key Skills & Qualifications

Required

• 1-3 years of experience building or deploying AI agents in production

• Strong Python skills

• Hands-on experience with LLM APIs and at least one orchestration framework (LangChain, LangGraph, or similar)

• Practical experience with RAG, vector databases, and prompt engineering

• Genuine passion for AI, evidenced by personal projects, open-source work, or a public portfolio

• Ambition and a drive to learn fast and take on more responsibility

Preferred

• Experience with Azure AI Foundry or Azure OpenAI (other cloud AI platforms such as AWS Bedrock or Google Vertex AI also valued)

• Familiarity with agent communication standards such as MCP

• Experience with multi-agent systems or agent evaluation

• A GitHub profile, writing, or talks that show your work

If you're early in your career, serious about AI, and ready to be trusted with real builds, we'd love to hear from you. Press the Easy Apply button today!