Archived listing. The details below describe a past opening.
Required Skills & Experience
- AI Agent Development & Orchestration: #1 differentiator. 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. AI is the primary development engine, not a side tool.
- Force multiplier - Measures success by how much faster they make the entire team, not by their own code output
- Builder of systems - Creates reusable tooling, agent templates, and playbooks the whole team adopts
- Pragmatic and fast - Ships working automation in days, not weeks. Iterates rapidly.
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