> Markdown version of [/jobs/ext/3749789-sr-ai-software-engineer](https://www.wearedevelopers.com/jobs/ext/3749789-sr-ai-software-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. AI Software Engineer - **Company:** Insight Global - **Location:** Atlanta, GA, United States - **Experience:** Expert - **Salary:** $165,000.0 - $185,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Cursor, Software Engineering, Software Factory, Large Language Models, Claude Code, Agentic-AI, Build Management, Production Code - **Published:** October 15, 2026 - **Apply:** https://www.atlantacareerpath.com/job.asp?id=3430651119&tx=FK1916FFG&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * 7+ years of professional software engineering experience, with a strong record of shipping and operating production systems. * 2+ years building with LLMs in production - agents, tool use, retrieval, or AI-powered developer tooling - with concrete examples of systems you designed and what you learned when they failed. * Deep, daily fluency with agentic coding tools (for example Claude Code, Cursor, Codex, or similar), and a clear point of view on where they work, where they break, and how to make them dependable. ## Description Our client is building a software factory: an engineering system in which AI agents, working inside guardrails our engineers design, carry work from a well-formed specification through code, tests, review, and release. We are hiring Senior AI Engineers to build it. This is a hands-on, senior individual-contributor role for engineers who have already shipped real systems with LLMs and agents, and who want to apply that experience to how an entire engineering organization builds software. You will design and build the agents, workflows, context systems, evaluation harnesses, and governance layer behind our AI-Led Development Cycle (AI-DLC), and you will prove them on production code across our platforms - not on sandbox demos. You will work closely with engineering leadership, the AI Engineering Group, Product, QA, and Security, and you will have real influence over the architecture and standards the rest of the organization adopts.