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GRAPH AND GEN AI ENGINEER

Crossroad Solution

On-site Full-time ₹851k – ₹2401k/yr Today

About the role

ONLY IMMEDIATE JOINERS WITH GREAT COMMUNICATION SKILLS NEED APPLY

Dear Candidate,

We are looking for Graph & GenAI Engineer for our Client.

Location

  • Bengaluru, Gurugram, Hyderabad, Pune

Mode

  • WFO

Notice Period

  • IMMEDIATE – 15 DAYS

Experience

  • 5+YRS

Position

  • Graph & GenAI Engineer

Key Skills

  • Python, Neo4j, Knowledge Graph, GenAI, Graph RAG

Mandatory Skills

  • Strong experience in Python development (coding is mandatory)
  • Hands-on experience with Neo4j
  • Experience working with Knowledge Graphs
  • Experience in Data Science / Machine Learning
  • Understanding of Graph RAG architecture
  • Hands-on experience with LangChain and LangGraph
  • Experience integrating LLMs with structured data
  • Understanding of embeddings and vector databases

Good to Have

  • Experience with Agentic AI
  • Experience with distributed graph databases (InfiniGraph or similar)
  • Exposure to GraphQL / REST API development
  • Experience with Cloud platforms (AWS / Azure / GCP)
  • Familiarity with Docker, Kubernetes, and CI/CD

Role Responsibilities

  • Design and build enterprise-scale Knowledge Graph solutions
  • Develop and optimize Neo4j graph databases
  • Write and optimize advanced Cypher queries
  • Build Graph RAG pipelines integrating Neo4j with LLMs
  • Implement LangChain graph integrations and custom retrievers
  • Design LangGraph workflows for AI reasoning and agent orchestration
  • Work with large-scale graph datasets and optimize performance
  • Build Python-based APIs and microservices
  • Collaborate with data, AI, and product teams to build scalable GenAI platforms

If you are interested for an exciting career, then please share your profile at bornalii@crossroadsolution.com.

Thanks,

Job Type

  • Full-time

Pay

  • ₹851,223.64 - ₹2,401,273.98 per year

Work Location

  • In person

Requirements

  • Strong experience in Python development (coding is mandatory)
  • Hands-on experience with Neo4j
  • Experience working with Knowledge Graphs
  • Experience in Data Science / Machine Learning
  • Understanding of Graph RAG architecture
  • Hands-on experience with LangChain and LangGraph
  • Experience integrating LLMs with structured data
  • Understanding of embeddings and vector databases

Responsibilities

  • Design and build enterprise-scale Knowledge Graph solutions
  • Develop and optimize Neo4j graph databases
  • Write and optimize advanced Cypher queries
  • Build Graph RAG pipelines integrating Neo4j with LLMs
  • Implement LangChain graph integrations and custom retrievers
  • Design LangGraph workflows for AI reasoning and agent orchestration
  • Work with large-scale graph datasets and optimize performance
  • Build Python-based APIs and microservices
  • Collaborate with data, AI, and product teams to build scalable GenAI platforms

Skills

AWSAzureCI/CDDockerGCPGenAIGraph RAGGraphQLKubernetesLangChainLangGraphLLMsNeo4jPythonREST APIVector databases

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