Mandatory Skills
- 0–13 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).
Pay: ₹3,000,000.00 - ₹5,000,000.00 per year
Benefits:
- Flexible schedule
- Health insurance
- Leave encashment
- Paid sick time
- Paid time off
- Provident Fund
- Work from home
Work Location: Hybrid remote in Bangalore City, Bengaluru, Karnataka
