Python Developer (GenAI/LLM Focus)

Job Title: Python Developer (GenAI/LLM Focus)Location: Minneapolis, MN (Onsite)Duration: ContractJob Description:We are seeking a hands-on AI Full Stack Developer to build and deliver end-to-end AI-powered applications that integrate LLM/GenAI capabilities into real-world business workflows.This role is focused on AI-driven product development, combining backend services, frontend experiences, APIs, and intelligent workflows to create scalable and user-centric applications (e.g., chatbots, copilots, AI assistants).Key Responsibilities:Build and deploy end-to-end AI applications (e.g., chatbot/copilot platforms) with UI, APIs, and backend servicesDesign and develop REST APIs and services for LLM inference, prompt orchestration, and agent workflowsImplement AI-driven user experiences, including:Explainability featuresFeedback loopsHuman-in-the-loop (HITL) workflowsDevelop and manage prompt flows, tool/function calling, and agent orchestrationIntegrate AI/ML services with enterprise systems and external APIsBuild React (or similar) based frontends to enable intuitive interaction with AI systemsEnsure secure SDLC practices including code reviews, testing, dependency management, and vulnerability fixesCollaborate with architecture, platform, and product teams to align with enterprise standardsLeverage AI coding tools (e.g., Copilot, agentic IDEs) to improve developer productivityRequired Skills (Must-Have):5+ years of full-stack software development experienceStrong programming skills in Python (preferred) / Java / .NETHands-on experience building LLM/GenAI-powered applications (production or strong POCs)Strong experience with:REST API developmentBackend service design and integrationModern frontend frameworks (React preferred)Practical experience with:Lang Chain / Lang Graph / agent frameworksPrompt engineering and prompt workflowsTool/function calling and API orchestrationStrong understanding of:AI system design and application architectureLLM integration patterns (RAG, agents, copilots)Experience with CI/CD, Git workflows, and automated testingNice-to-Have (Highly Preferred):Experience building AI copilots, chatbots, or internal AI assistantsKnowledge of AI observability and evaluation:Prompt/version trackingModel evaluation metricsExperience designing AI interaction UX (explain ability, feedback, HITL)Exposure to LLM runtimes, embeddings, and vector databases