Senior AI Engineer with Microsoft Azure

Responsibilities

• Industrialize prototypes into production services on Azure — Azure AI Foundry / Azure OpenAI — from build-ready pack to a system real users depend on in weeks
• Build agentic systems properly, choosing orchestration frameworks, RAG pipelines, vector DBs, knowledge graphs and MCP-based tool integration by need and engineer them for change
• Build the eval harness first: golden sets, regression evals and guardrail tests wired into CI, with quality measured on every change
• Engineer the guardrails, including input/output filtering, grounding and citation, PII protection, rate limits and human escalation paths
• Deliver full stack services in Python and/or Java Spring Boot along with TypeScript/Angular front ends
• Run production engineering end-to-end, covering CI/CD, observability with traces on every LLM call, cost and latency management and model-version churn absorbed by design
• Build security and compliance in, respecting data classification boundaries in prompts, stores and logs, externalizing secrets and making every AI decision auditable
• Iterate from real usage through hypercare, tuning and fixes based on evidence, and package patterns that worked for the next pod

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