The Role
Lead design and delivery of production-grade generative AI solutions. Hands-on work with LLMs, RAG, AI agents, LangChain, and cloud deployments. Optionally integrate knowledge graph architectures to improve retrieval, reduce hallucinations, and enable hybridKG-vector retrieval.
Summary Generated by Built In
Job Title: Principal Gen AI Engineer
Location: Bengaluru
Experience: 10–14 Years
Job Responsibilities:
- 10 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, Lang Graph, and SQL.
- Experience deploying enterprise Gen AI 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 explain ability and reduce hallucinations (Graph-RAG).
Skills Required
- 10 years of experience in Machine Learning/Artificial Intelligence
- Minimum 2+ years of hands-on experience with Large Language Models (LLMs)
- Experience with Retrieval-Augmented Generation (RAG)
- Experience with AI Agents
- Prompt engineering experience
- Proficiency in Python
- Proficiency with LangChain and Lang Graph
- Proficiency in SQL
- Experience deploying enterprise GenAI solutions on AWS, Azure, or GCP
- Experience designing and delivering scalable, production-grade AI solutions for enterprise clients
- 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 (Graph-RAG)
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The Company
What We Do
DATAMAXIS takes pride in delivering a wide range of business IT modernization, data analytics, and technology management services. With command of the cutting-edge developments in these fields, our team and consultants are ready to provide you a robust technology modernization experience that results in a big boost in performance capability and operational efficiency.
