Role: Principal Gen AI Engineer

Location:
India (Remote/Hybrid)

Experience:
8–13 Years

Notice Period:
Immediate (Serving Notice Period)

We are hiring
Principal GenAI Engineer
to lead the design and delivery of enterprise-scale AI solutions for Fortune 500 clients. This is an chance to work on cutting-edge
Graph-powered Retrieval-Augmented Generation (Graph-RAG)
systems that combine Knowledge Graphs with advanced Large Language Models (LLMs) to build scalable, explainable, and production-ready AI applications.

Key Responsibilities
- Design and develop enterprise-grade
Graph-RAG
solutions using LLMs and Knowledge Graphs.
- Build scalable Retrieval-Augmented Generation (RAG) pipelines and AI agent workflows.
- Develop production-ready applications using
Python, LangChain, and LangGraph
.
- Design and optimize Knowledge Graph architectures for semantic reasoning.
- Create and maintain ontologies, taxonomies, and semantic data models.
- Implement entity resolution, relationship extraction, and graph enrichment pipelines.




- Integrate Knowledge Graphs with vector databases to enable hybrid retrieval.
- Deploy and optimize GenAI applications on
AWS, Azure, or GCP
.
- Collaborate with cross-functional teams to deliver enterprise AI solutions with high performance, explainability, and reliability.

Required Skills
- 8–13 years of experience in Machine Learning, Artificial Intelligence, or related domains.
- 2+ years of hands-on experience with
Large Language Models (LLMs)
.
- Expertise in
Knowledge Graphs
and
Graph-RAG
.
- Hands-on experience with
Neo4j
,
Amazon Neptune
, or similar graph databases.
- Strong understanding of explainable AI and techniques to reduce LLM hallucinations.
- Retrieval-Augmented Generation (RAG)
- Strong knowledge of
Cypher
or other graph query languages.
- AI Agents
- Prompt Engineering
- Python
- LangChain
- LangGraph
- SQL
- Experience deploying GenAI solutions on
AWS, Azure, or Google Cloud Platform (GCP)
.

📌 Principal Engineer (Bengaluru)
🏢 Vysystems
📍 Bengaluru