Senior AI Engineer

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 solutions