> Markdown version of [/jobs/ext/3774348-ai-engineer](https://www.wearedevelopers.com/jobs/ext/3774348-ai-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). --- # AI engineer - **Company:** Insight Global - **Location:** Alpharetta, GA, United States - **Salary:** $104,000.0 - $124,800.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Agile Methodology, Artificial Intelligence, Business Logic, Computing Platforms, Application Release Automation, JIRA, Automation of Tests, Microsoft Azure, Static Program Analysis, Code Generation, Software Quality, Continuous Integration, DevOps, Elasticsearch, Github, JSON, Python (Programming Language), Parsing, Systems Development Life Cycle, Data Processing, GitHub Copilot, LangChain, Prompt Engineering, Spring-boot, Agentic-AI, Pytest, Cosmos DB, Codebase, Claude, Virtual Agents - **Published:** October 16, 2026 - **Apply:** https://www.juju.com/job/1_insightglobal-0f77d109 ## About the Role Proven experience building multi-step AI agent workflows for engineering tasks - chaining code analysis ? generation ? validation ? feedback. GitHub Copilot, Claude, LangChain, custom agents, or equivalent. - SDLC Automation & DevOps: Track record of automating significant portions of the delivery lifecycle - CI/CD, automated testing, code quality gates, release automation (GitHub Actions). - Python (strong proficiency): Primary codebase is Python - data processing, JSON transformations, modular architecture. Must build tooling and review/generate code at scale. - Automated Testing Frameworks: AI-augmented regression suites, diff/comparison tooling, scenario-based test generation, golden-file validation. pytest, CI integration. - Advanced Prompt Engineering: Complex multi-step prompts for code generation, legacy code analysis, business rule extraction. Knows how to structure context, manage token limits, and validate AI outputs. * Legacy code analysis - Parsing unfamiliar proprietary languages to extract business logic via AI * Java / Spring Boot - Secondary platforms are Java-based * Elasticsearch, Azure / AKS / Cosmos DB - Platform technologies * Healthcare data / MDM domain * AI-native thinker - Every manual process is an automation opportunity. ## Description Job Description Insight Global is looking for an AI engineer to support a remote team who is working on a complex legacy-to-Python migration and multiple customer-facing platforms. We don't need another developer - we need someone whose primary job is to make the entire team 3-5x faster by building AI-powered automation across every phase of the SDLC: requirements extraction, code generation, testing, defect analysis, and release. This person doesn't just use AI - they architect AI-driven engineering workflows that multiply the output of every developer on the team. Environment Python, Java/Spring Boot, Elasticsearch, Azure (AKS, Cosmos DB), GitHub, Jira, HPCC/ECL (legacy) | GitHub Copilot, Claude, SDD, AI-DLC | Agile, 2-week sprints Pay Rate: 50-60/hr. determined by the hiring manager during the interview process Skills and Requirements - AI Agent Development & Orchestration: #1 differentiator.