CS
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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