• 3+ years of experience in AI-enabled backend engineering, including at least 2+ years working with production LLM applications.

• Hands-on experience with Azure OpenAI (chat, embeddings, model fallback patterns, structured outputs, and rate-limit/error handling).

• Experience implementing multi-step or agentic workflows (for example planning, retrieval, synthesis, validation, fallback/recovery paths).

• Strong understanding of RAG design, retrieval quality tuning, chunking strategies, citation grounding, and relevance validation.

• Experience with LangChain/LangGraph or equivalent orchestration frameworks.

Platform Engineering, Security & Delivery

• 5+ years of Python backend engineering in production environments.

• Strong FastAPI and Azure Functions expertise (HTTP/Timer/Queue, async patterns, deployment, and operations).

• Proven ability to build resilient AI backend services with robust validation, RBAC, clean error handling, and modular/testable architecture.

• Solid security and privacy practice: identity-based access, secret management, least-privilege design, and PII-safe processing aligned with enterprise governance.

• Strong reliability mindset: unit/integration testing, observability, incident response, root-cause analysis, and performance/cost tuning.

• Effective cross-functional collaboration, clear technical documentation, and CI/CD ownership for stable releases.