Strong Python backend development experience
Hands-on experience with Generative AI / LLMs
Experience with RAG pipelines
Knowledge of graph databases / knowledge graphs
Frontend experience with React
Understanding of APIs, microservices, and distributed systems
Experience with MCP servers / MCP orchestration experience
Responsibilities:
Build AI-powered backend services using Python (FastAPI/Flask)
Develop and integrate LLM-based solutions using frameworks like LangChain or LlamaIndex
Design and implement RAG / Graph RAG pipelines
Work with knowledge graphs (e.g., Neo4j) to enable semantic querying and reasoning - Knowledge graph/ontology + MCP servers.
Develop AI agents for multi-step reasoning and orchestration
Build scalable REST/GraphQL APIs
Create intuitive front-end interfaces using React for:
Chat-based AI interaction
Graph and lineage visualization
Collaborate with data engineers and architects to model enterprise ontology and metadata.
Description:
Python Full Stack AI Engineer to work on the DIVA (Digital Intelligence Virtual Assistant) platform—an enterprise-grade AI system designed to provide intelligent, context-aware insights across applications, data, and platforms.
DIVA enables users to explore system capabilities, data lineage, dependencies, and cloud migration impacts through a conversational AI interface powered by knowledge graphs and AI agents.