Job Description
Responsibilities
- Architect and implement enterprise-grade LLM/agent systems in Python using frameworks such as Autogen, SemanticKernel, and LangGraph.
- Design durable agentic workflows and orchestration using Temporal (workflows, activities, signals, retries, long-running transactions).
- Build complex business software integrations (transactional flows, auditability, RBAC, idempotency) that agents operate within and act upon.
- Deploy and manage LLMs on Azure AI / Azure OpenAI: inference, scaling, cost/latency SLAs, caching, model routing.
- Design Retrieval-Augmented Generation (RAG) pipelines, embedding stores and vector DB integrations (Elasticsearch).
- Implement safe tool/function-calling patterns and secure adapters to external systems (APIs, DBs, messaging).
- Ensure model & agent safety, hallucination mitigation, bias controls, data governance and compliance.
- Mentor teams; conduct architecture revie...
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