Required qualifications
- 10+ years of software engineering; strong Python and/or TypeScript
- Deep Azure expertise: infrastructure-as-code (Bicep or Terraform), networking, identity, container platforms, Azure AI services
- Production LLM or agentic systems you personally built and ran end to end — data flows, orchestration, deployment, evaluation, incident response — be prepared to walk through the most recent one
- Evaluation engineering: you design and build eval suites — datasets, metrics, regression tests wired into CI — and hold them as release gates, not demos
- Ownership of CI/CD pipelines (GitHub Actions, Azure DevOps, or equivalent)
- Identity-aware API and integration design
- Sound judgment partnering with vendors while keeping core capability in-house
- AI-augmented development as your default — we work with Claude and Microsoft Copilot, and expect them in your daily build loop
Preferred qualifications
- Model Context Protocol (MCP) implementation experience
- SAP or other enterprise ERP integration exposure
- Experience with enterprise integration/automation (iPaaS) platforms
- Prior technical-lead or mentoring experience
- Regulated or industrial-sector environments
Rate:
Not specified
Location:
Remote
IR35 Status:
Not specified
Remote Status:
Remote
Industry:
AI & Machine Learning
Seniority Level:
Senior