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:

Python → LLMs → RAG/Graph RAG → Knowledge Graph → AI Agents → MCP → APIs → React

Job Type: Part-Time

Work Mode: Remote

Role: Python Full Stack AI Engineer

Experience: Relevant hands-on experience in Python + GenAI/LLM + RAG/Knowledge Graphs/MCP

📌 Freelance Python Full Stack AI Engineer (India)
🏢 IndiTech Consulting
📍 India