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ROLE: PYTHON AI FULLSTACK DEVELOPER
INTERVIEW: TELEPHONIC & WEBCAM
THIS IS ONSITE HYBRID-CHARLOTTE, NC OR ISELIN,NJ
Contract Type: W2
ALL CANDIDATES NEED TO TAKE GLIDER TEST. DEPENDING ON THEIR SCORE THEY WILL GET SHORT LISTED FOR CLIENT INTERVIEW.
CITIZENEAD/EAD
OVERALL EXPERIENCE 9YRS
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.
Key Responsibilities
Shreya,
Email:
ROLE: PYTHON AI FULLSTACK DEVELOPER
INTERVIEW: TELEPHONIC & WEBCAM
THIS IS ONSITE HYBRID-CHARLOTTE, NC OR ISELIN,NJ
Contract Type: W2
ALL CANDIDATES NEED TO TAKE GLIDER TEST. DEPENDING ON THEIR SCORE THEY WILL GET SHORT LISTED FOR CLIENT INTERVIEW.
CITIZENEAD/EAD
OVERALL EXPERIENCE 9YRS
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.
Key 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 / 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.
- 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
Shreya,
Email: