AI Full Stack Developer; GenAI​/LLM Focus

Purple Drive

AI Full Stack Developer (GenAI / LLM Focus)

Share Minneapolis, MN

Overview:

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 services

· Design and develop REST APIs and services for LLM inference, prompt orchestration, and agent workflows

· Implement AI-driven user experiences, including:

• Explainability features
• Feedback loops
• Human-in-the-loop (HITL) workflows

· Develop and manage prompt flows, tool/function calling, and agent orchestration

· Integrate AI/ML services with enterprise systems and external APIs

· Build React (or similar) based frontends to enable intuitive interaction with AI systems

· Ensure secure SDLC practices including code reviews, testing, dependency management, and vulnerability fixes

· Collaborate with architecture, platform, and product teams to align with enterprise standards

· Leverage AI coding tools (e.g., Copilot, agentic IDEs) to improve developer productivity

Required Skills (Must-Have):

· 5+ years of full-stack software development experience

· Strong programming skills in Python (preferred) / Java / .NET

· Hands-on experience building LLM/GenAI-powered applications (production or strong POCs)

· Strong experience with:

• REST API development
• Backend service design and integration
• Modern frontend frameworks (React preferred)

· Practical experience with:

• Lang Chain / Lang Graph / agent frameworks
• Prompt engineering and prompt workflows
• Tool/function calling and API orchestration

· Strong understanding of:

• AI system design and application architecture
• LLM integration patterns (RAG, agents, copilots)

· Experience with CI/CD, Git workflows, and automated testing