- This engagement is for anIndependent Contractor / Consultant.****
****Job Title:Senior Python Full Stack AI Engineer (GenAI / Agentic AI / Knowledge Graphs)
****Location:Charlotte, NC OR Iselin, NJ (Hybrid- On-site)
****Duration:Long Term(CTH)
****Interview Process:Telephonic and Webcam
- ALL CANDIDATES NEED TO TAKE GLIDER TEST.DEPENDING ON THEIR SCORE THEY WILL GET SHORT LISTED FOR CLIENT INTERVIEW. ****
Description
Python Full Stack AI Engineerto work on the DIVA (Digital Intelligence Virtual Assistant)platforman 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.
Key Responsibilities
- Build AI-powered backend services using Python (FastAPI/Flask)
- Develop and integrate LLM-based solutionsusing frameworks like LangChainor LlamaIndex
- Design and implement RAG / GraphRAG 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.
Required Skills
- 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