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