Experience:

• 2-5 years

Responsibilities:

• Take hands-on ownership of GraphRAG systems
• Contribute to evolution of Graph's MCP tooling framework
• Develop graph query pipelines and developer tooling
• Design and build MCP tools including orchestration logic and agentic-AI workflows
• Architect integration code between TigerGraph, vector indexing systems, and external LLMs
• Engineer reusable modules and components for cognitive agents
• Collaborate with platform, AI research, and product teams on MCP roadmap
• Write test suites and benchmark GraphRAG system performance
• Write internal documentation and SDKs to improve developer usability

Additional responsibilities:

• Navigate ambiguous technical challenges and make architectural trade-offs
• Drive execution of GraphRAG systems without detailed roadmaps
• Ensure engineering excellence and high code standards

Nice to have:

• Experience developing tools, platforms, or APIs for AI engineers or ML practitioners
• Background in knowledge graphs, graph neural networks, or knowledge-based QA systems
• Familiarity with Docker and Kubernetes
• Experience with FastAPI and distributed compute systems
• Contributions to open-source projects in graph, ML, or LLM domains

More skills:

Python, GSQL queries, schema modeling, GraphRAG architectures, agent-based LLM tools, prompt templating, vector indexing, similarity search

Other:

• Full time position
• Industry: IT Services
• Posted on 06/22/2026
• Work location in Telangana state, India