Description

Required Qualifications:
7+ years of experience in software development or AI architecture roles.
At least 2 years building LLM-based or agentic AI solutions in production.
Strong experience with Azure OpenAI, Google Vertex AI, and cloud-native application design.
Deep understanding of Model Context Protocols (MCP) and how they facilitate coordination and memory in agentic systems.
Proven experience implementing Mixture of Experts architectures or intelligent task-routing across agents/models.
Fluency in Python and experience with LLM orchestration frameworks (e.g., LangChain, AutoGen, Semantic Kernel).
Familiarity with vector databases (FAISS, Pinecone, Weaviate) and prompt engineering best practices.
Experience integrating AI solutions with enterprise systems and APIs

Key Skills
Education

Any Gradute

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