Position Overview
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
<...