- Develop and optimize Generative AI solutions, including prompt engineering for large language models.

- Build and manage AI workflows using LangChain or LangGraph frameworks.

- Design and implement RAG (Retrieval-Augmented Generation) pipelines for enhanced AI capabilities.

- Work with MCP (Model Context Protocol) for context management and model orchestration.

- Design, model, and implement graph-based systems using Neo4j, including Cypher queries and graph-backed AI integration.

- Collaborate with cross-functional teams to integrate AI and graph solutions into enterprise applications.

- Ensure solutions are high-quality, scalable, and robust, following best practices in AI and graph architectures.

Mandatory Skills :

- Strong experience in AI / Generative AI development.

- Hands-on expertise with Neo4j, including graph modeling, Cypher queries, and graph-backed AI systems.

Desired Skills :

- Experience with LangChain / LangGraph frameworks.

- Knowledge of RAG pipelines for AI systems.

- Familiarity with MCP (Model Context Protocol) for model orchestration.

Total Experience : 8+ Years

Mandatory Experience :

- AI : 5+ years

- Neo4j : 3+ years