AI / GenAI Engineer

Description and Requirements

Role Summary We are looking for an AI/ML Engineer with strong Python skills and a passion for building production-ready AI systems. In this role, you will contribute to developing and deploying LLM-based applications, including multi-agent systems and RAG pipelines, while ensuring scalability, reliability, and cost efficiency.Key Responsibilities

Model Integration:  Assist in deploying and maintaining machine learning models into production environments using Python and cloud services.

Agentic Frameworks : Hands-on experience with LangGraph, CrewAI, or AutoGen to build multi-agent systems that can reason, plan, and execute multi-step tasks.

RAG : Understanding of advanced Retrieval-Augmented Generation (RAG) techniques, including hybrid search, reranking, and semantic chunking using vector databases like Pinecone, Weaviate, or Chroma.

Model Context Protocol (MCP)