Data Engineer

I'm looking for an Senior Data Engineer who will design and develop scalable backend services, data pipelines, and AI-enabled retrieval solutions. I'm looking for someone with hands-on experience in knowledge graphs, GraphRAG, Azure Cosmos DB, Neo4j, and LLM-based architectures, as well as a strong understanding of API design and software engineering best practices. Experience with React, Next.js, or Databricks would be a plus.

🚀 Project
- designing and developing scalable data pipelines, backend services, and APIs using Python
- building and maintaining knowledge graph solutions, including graph data modeling, relationship mapping, and graph traversal logic
- working with Azure Cosmos DB, Gremlin API, and graph databases such as Neo4j
- designing and implementing GraphRAG solutions combining knowledge graphs, vector search, metadata, and LLM-based retrieval
- contributing to technical design, code quality, testing, performance optimization, and production support
- collaborating with product, engineering, data, and AI teams to deliver reliable software solutions
- supporting full-stack development using React and Next.js where required

🎯 Skills
- strong commercial experience with Python backend or data engineering development
- hands-on experience with knowledge graphs, graph data modeling, and graph-based applications
- experience with Cosmos DB, Gremlin API, and/or Neo4j
- good understanding of GraphRAG, RAG pipelines, LLMs, embeddings, and AI-enabled retrieval systems
- Azure Cosmos DB graph capabilities
- LangChain, LangGraph
- LLMs and RAG
- MCP server/client integration and hosting
- Agent memory management
- AI engineering and spec-driven development
- experience with data pipelines, API design, scalable architecture, and software engineering best practices
- comfortable working in cloud-based environments and modern delivery workflows
- working knowledge of React and Next.js is preferred

💡 Nice to have
- experience with Databricks or similar data platforms
- experience with vector databases, Azure AI Search, or semantic search platforms
- Docker, Kubernetes, CI/CD, or cloud platform experience

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