We are looking for a hands-on Python Full Stack AI Engineer to provide part-time job support on an enterprise-grade AI platform.
The platform delivers context-aware insights across applications, data, and technology platforms through a conversational AI interface powered by LLMs, AI agents, RAG/GraphRAG, Knowledge Graphs, and MCP servers .
? What You’ll Work On
• Build AI-powered backend services using Python, FastAPI / Flask
• Develop and integrate LLM-based applications using LangChain / Llama Index
• Design and implement RAG and GraphRAG pipelines
• Work with Knowledge Graphs / Graph Databases , especially Neo4j
• Contribute to enterprise ontology, metadata, and semantic modeling
• Build AI agents for multi-step reasoning, orchestration, and automation
• Develop and integrate MCP servers and MCP-based orchestration
• Build scalable REST / GraphQL APIs and microservices
• Develop React-based interfaces for AI chat, graph visualization, and lineage exploration
- Collaborate with data engineers and architects on enterprise metadata and ontology
✅ Must-Have Skills
? Robust Python backend development
? Hands-on Generative AI / LLM experience
? Production experience with RAG / GraphRAG
? LangChain / LlamaIndex
? Knowledge Graphs / Neo4j
? MCP Servers / MCP orchestration
? AI Agents / Agentic AI
? React
? REST / GraphQL APIs
? Microservices & distributed systems
? Enterprise ontology / metadata concepts
⭐ Ideal Candidate
Someone who is a hands-on builder and can independently contribute to AI applications involving: