Description

You will lead the design and implementation of agentic AI systems using Azure OpenAI and Google Cloud AI.

Responsibilities

• Design and implement agentic AI systems across Azure OpenAI and Google Cloud AI (Vertex AI, Gemini).
• Develop orchestrated reasoning workflows using autonomous agents, orchestrator frameworks, and Model Context Protocols (MCP).
• Implement Mixture of Experts architectures and intelligent task-routing across agents and models.
• Integrate AI solutions with enterprise systems and APIs.

Required Skills

• 7+ years of experience in software development or AI architecture roles.
• 2+ years building LLM-based or agentic AI solutions in production.
• Deep expertise in Azure OpenAI and Google Vertex AI.
• Proficiency in Python and LLM orchestration frameworks such as LangChain, AutoGen, or Semantic Kernel.
• Practical experience with Model Context Protocols (MCP) for agent coordination and memory.
• Familiarity with vector databases including FAISS, Pinecone, or Weaviate.
• Applied knowledge of prompt engineering best practices and cloud-native application design.

Preferred Skills

• Experience with retrieval-augmented generation (RAG), long-context memory management, and knowledge graphs.
• Background in symbolic reasoning, planning systems, or multi-agent simulation environments.
• AI/ML certifications on Azure or Google Cloud.
• Exposure to CI/CD for ML, secure agent deployment, and observability tooling.

Key Skills

Education

Any Graduate