Lead AI Engineer - GenAI GraphRAG LLM

Reycruit; Hyderabad; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Reycruit is seeking a Lead / Senior AI Engineer in Hyderabad to build production AI systems that go beyond chatbots. The role focuses on GraphRAG, Knowledge Graphs, LLMs, RAG, and graph databases, with hands-on work in Python.

You will design, implement and scale AI architectures that combine Graph + LLM + RAG, design ontologies, and work with Neo4j/Cypher/SPARQL and vector stores. Onsite in Hyderabad requires collaboration with cross-functional teams.

Qualifications

• Hands-on experience building production AI systems.
• Experience with GraphRAG and Knowledge Graphs.
• Experience with LLM-based applications.
• Experience with RAG and semantic retrieval.
• Experience in ontology/semantic modelling.
• Proficiency with Neo4j/Cypher/SPARQL.
• Knowledge of vector databases and embeddings.
• Experience building AI Agents/Agentic workflows.
• Proficiency in Python.

Responsibilities

• Lead design and delivery of AI systems integrating Graphs, LLMs and RAG.
• Architect knowledge graphs and graph databases.
• Develop AI agents and agentic workflows.
• Collaborate with cross-functional teams to deploy scalable AI solutions.

Skills

GraphRAG

Knowledge Graphs

LLMs

RAG

Semantic retrieval

Ontology

Neo4j

Cypher

SPARQL

Vector databases

Embeddings

AI Agents

Agentic workflows

Python

Tools

Neo4j

Cypher

SPARQL

LangChain

LangGraph

Job description

We are looking for a Lead / Senior AI Engineer who wants to build something far beyond a conventional chatbot.

The technology stack sits at the intersection of:

Knowledge Graphs
GraphRAG
LLMs & Agentic AI
RAG & Hybrid Search
Neo4j / Graph Databases
LangGraph / LangChain
Python

Who are we looking for?

Someone who has hands-on experience building production AI systems involving:

• GraphRAG / Knowledge Graphs
• LLM-based applications
• RAG & semantic retrieval
• Ontology / semantic modelling
• Neo4j / Cypher / SPARQL
• Vector databases & embeddings
• AI Agents / Agentic workflows
• Python

Your current designation doesn't matter.

You could be a:

GenAI Engineer | LLM Engineer | AI Engineer | ML Engineer | AI Architect | RAG Engineer | Knowledge Graph Engineer

If you've built serious systems combining Graph + LLM + RAG, I want to speak with you.

Location - Hyderabad , Onsite