Your responsibilities: Design and develop agentic AI systems capable of multi-step reasoning, planning, and action execution Build scalable AI applications using Python as the core development language Develop and integrate solutions using Azure OpenAI Services, including prompt engineering, embeddings, and fine-tuning strategies Implement orchestration pipelines using Semantic Kernel and LangGraph for multi-agent workflows Integrate tools, APIs, and enterprise systems using MCP (Model Context Protocol) or similar frameworks Design memory, state management, and context-aware agent behaviors Optimize performance, cost, and latency of LLM-based solutions Collaborate with solution architects, product teams, and stakeholders to translate business use cases into AI solutions Ensure governance, security, and responsible AI practices are embedded into solutions Your Profile Key Responsibilities Design agent architectures Define orchestration patterns Design tool strategy and integration approach Lead implementation of AI services Establish coding standards and best practices Guide evaluation and safety approaches Support production deployments and troubleshooting Hands-on Skills Required Design multi-agent solutions Design RAG architecture Implement complex orchestration workflows Build scalable AI microservices Define AI governance patterns Troubleshoot production AI ..... full job details .....