Top Skills'''' Details
Overall 7 years experience
Required Skills (Must-Have):
- 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.
Secondary Skills - Nice to Haves
Job Description
Role Summary
We have a capable engineering team 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.
Additional Skills & Qualifications
Preferred Skills
* 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
Key Attributes
* 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.
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
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