Senior AI Engineer

Must have:

• Strong Python and PySpark skills, with real experience shipping ML or data products to production
• Solid foundation in classical ML (classification, clustering, similarity, anomaly detection) — you know when not to reach for an LLM
• Hands-on experience with LLMs in production: RAG, extraction, evaluation, prompt design
• Databricks delivery experience (Delta Lake, MLflow, performance tuning)
• Comfortable on Azure: identity, secrets management, networking, and the AI/data services
• Engineering discipline: Git, code review, testing, clear documentation
• Fluent with AI coding assistants (Cursor, Claude Code, Copilot, or similar) as part of your daily workflow
  • Able to work directly with business stakeholders, debug across the stack, and explain trade-offs clearly.