Proficiency in Python development for AI/agent solutions, with solid general scripting ability
Hands-on experience building agents and multi-agent workflows with one or more orchestration frameworks: Semantic Kernel / Microsoft Agent Framework, LangGraph, LangChain, AutoGen, Strands SDK
Expertise in Azure AI Foundry for building, deploying, and operating agents at scale (hosted agents, agent service, memory, evaluation)
Solid understanding of LLM concepts: prompt engineering, RAG, grounding, tool/function calling, hallucination mitigation, and evaluation
Skills in API integration (REST APIs, JSON, authentication via OAuth2 / API keys)
Competency in designing agent behavior: state and memory management, tool use, error handling, fallback, and escalation paths
Capability to collaborate with architects and data engineering teams to deliver scalable, production-grade solutions
English proficiency at B2 level or higher
Background in Azure AI Services and the broader Azure stack (Blob Storage, Container Services)
Experience with multi-cloud agent deployment (e.g., AWS Bedrock via Strands SDK)
Familiarity with Model Context Protocol (MCP) for tool/connector integration
Knowledge of LLMOps / MLOps: monitoring, evals, and cost/latency optimization for AI Agents
Experience with vector databases, retrieval infrastructure for RAG and Docker
Skills in Microsoft Graph API integration and delivering in enterprise or regulated/validated environments (e.g., GxP), including governance and observability tooling