Mandatory Skills:

- 10-15 years of experience in Machine Learning/Artificial Intelligence.

- Minimum 2+ years of hands-on experience with Large Language Models (LLMs).

Strong experience in:

- Retrieval-Augmented Generation (RAG)

- AI Agents

- Prompt Engineering

- Proficiency in Python, LangChain, LangGraph, and SQL.

- Experience deploying enterprise GenAI solutions on AWS, Azure, or GCP.

- Experience designing and delivering scalable, production-grade AI solutions for enterprise clients.

Good to Have:

- Knowledge Graph Expertise

- Design and implementation of enterprise Knowledge Graph architectures.

- Experience developing ontologies, taxonomies, and semantic data models.

- Entity resolution, relationship extraction, and graph enrichment.

- Hands-on experience with Neo4j, Amazon Neptune, or similar graph databases.

- Strong knowledge of Cypher or other graph query languages.

- Experience building hybrid retrieval systems using Knowledge Graphs and vector databases.

- Ability to integrate Knowledge Graph reasoning with LLMs to improve explainability and reduce hallucinations (Graph-RAG).