Live opening · Posted 10 hours ago
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About the role
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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
🔹 Strong 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
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