Description

You will design and implement production-grade agentic AI systems and LLM-based architectures.

This role is on-site.

Responsibilities

• Build and deploy agentic AI solutions and LLM-based systems in production environments.
• Design intelligent task-routing and Mixture of Experts architectures across multiple agents and models.
• Implement Model Context Protocols (MCP) to manage coordination and memory within agentic systems.
• Integrate AI solutions with existing enterprise systems and APIs.
• Develop cloud-native applications utilizing Azure OpenAI and Google Vertex AI.

Required Skills

• 7+ years of experience in software development or AI architecture roles.
• 2+ years of experience building LLM-based or agentic AI solutions in production.
• Proficiency in Python.
• Experience with LLM orchestration frameworks including LangChain, AutoGen, and Semantic Kernel.
• Hands-on experience with Azure OpenAI and Google Vertex AI.
• Deep understanding of Model Context Protocols (MCP).
• Experience implementing Mixture of Experts architectures or intelligent task-routing.
• Familiarity with vector databases such as FAISS, Pinecone, or Weaviate.
• Knowledge of prompt engineering best practices.

Key Skills

Education

Any Gradute