{"schemaVersion":"jobsearcher.job.v1","id":"ae1d70e442a3e5308930662a","url":"https://jobsearcher.com/jobs/ae1d70e442a3e5308930662a","canonicalUrl":"https://jobsearcher.com/jobs/ae1d70e442a3e5308930662a","title":"PYTHON AI FULL STACK DEVELOPER(W2)","description":"Dice is the leading career destination for tech experts at every stage of their careers. Our client, Prohires, is seeking the following. Apply via Dice today!INTERVIEW: TELEPHONIC & WEBCAMTHIS IS ONSITE HYBRID-CHARLOTTE, NC OR ISELIN,NJ ON W2CITIZENEAD/EADRATE 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-OPENINGSOVERALL 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","company":"Via Dice","rawCompany":"via dice","city":"Charlotte","state":"NC","isRemote":false,"isActive":false,"createdAt":"2026-06-17T01:52:30.993Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1254.00","title":"Web Developers","slug":"web-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"PYTHON AI FULL STACK DEVELOPER(W2)","description":"Dice is the leading career destination for tech experts at every stage of their careers. 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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. 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