Job Description
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
