Note: The job is a remote job and is open to candidates in USA. Datum Technologies Group is seeking an Artificial Intelligence Engineer to enhance their engineering team's efficiency through AI-powered automation. The role involves architecting AI-driven workflows that improve the software development lifecycle, focusing on automation across various phases such as requirements extraction and testing.

Responsibilities

• 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

Skills

• AI Agent Development & Orchestration: 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
• 7+ years of experience
• 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

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