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PYTHON AI FULL STACK DEVELOPER(W2)

Charlotte, NC, US • Posted 23 hours ago • Updated 23 hours ago

Contract W2

Contract Independent

12 Months

No Travel Required

On-site

Depends on Experience

Fitment

Dice Job Match Score™

⭐ Evaluating experience...

Job Details

Skills

Generative Artificial Intelligence (AI)
Cloud Computing
Collaboration
Interfaces
LangChain
Flask
GC
Graph Databases
GraphQL
Artificial Intelligence
Meta-data Management
Backend Development

Summary

INTERVIEW: TELEPHONIC & WEBCAM
THIS IS ONSITE HYBRID-CHARLOTTE, NC OR ISELIN,NJ ON W2

CITIZENEAD/EAD

RATE NON NEGOTIABLE.

ALL CANDIDATES NEED TO TAKE GLIDER TEST.

DEPENDING ON THEIR SCORE THEY WILL GET SHORT LISTED FOR CLIENT INTERVIEW.

ROLE: PYTHON AI FULLSTACK DEVELOPER-16-OPENINGS

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. 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

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Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91126058
Position Id: 8992121
Posted 23 hours ago

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Nagavendar Molugu

Recruiter @ Prohires

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