Python Full Stack AI Engineer
Dice is the leading career destination for tech experts at every stage of their careers. Our client, New York Technology Partners, is seeking the following. Apply via Dice today!Job Title: Python Full Stack AI EngineerLocation: Charlotte, NC (Onsite)Experience: 9+ YearsInterview ProcessRound 1: Technical screeningRound 2: Karat assessment test Final round: Successful candidates will proceed to client interview submissionJob OverviewWe are seeking a highly skilled Full Stack AI Engineer with deep expertise in Python, FastAPI, React.js, and Large Language Models (LLMs) to design and build scalable, AI-powered applications. This role involves developing modern microservices architectures and delivering innovative AI-driven solutions for enterprise-scale systems.Key ResponsibilitiesBackend & API DevelopmentDesign and develop scalable backend services and REST APIs using Python (3.x) and FastAPIBuild and maintain microservices architecture for AI/ML applicationsDevelop robust API integrations across systemsOptimize performance, scalability, and reliability of backend servicesAI/ML & LLM DevelopmentDevelop and integrate LLM-based solutions (OpenAI, Azure OpenAI, Claude, etc.)Implement Retrieval-Augmented Generation (RAG) pipelines and vector search solutionsApply prompt engineering and agentic workflows to enhance AI capabilitiesOptimize model performance, response quality, and latencyFrontend DevelopmentBuild responsive and dynamic user interfaces using React.jsDevelop interactive components such as chatbots, dashboards, and AI assistantsIntegrate backend APIs and support real-time/streaming data interactionsUtilize modern React practices such as hooks and state managementRequired Skills & Experience10+ years of overall IT experienceStrong hands-on experience in Python (3.x)Expertise in FastAPI for API and microservices developmentStrong frontend development experience using React.js (hooks, state management)Proven experience with REST APIs and microservices architectureHands-on experience with Large Language Models (LLMs) and Generative AI