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