Description

Design and implement production-grade agentic AI systems and LLM-based architectures.

This role is on-site.

Responsibilities

• Design and deploy agentic AI solutions and LLM-based systems in production environments.
• Implement Mixture of Experts architectures and intelligent task-routing logic across multiple agents and models.
• Develop coordination and memory mechanisms within agentic systems using Model Context Protocols (MCP).
• Architect cloud-native applications leveraging major AI cloud platforms.

Required Skills

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

Key Skills

Education

Any Gradute