Full Stack Engineer

Base pay range

$/yr - $/yr

Insight Global is hiring a Full-Stack Developer to join an AI software development company based in Denver, CO
. We are seeking individuals with experience in modern React, state management, and serverless systems. You will be responsible for integrating our current business logic, persistence, and state layer into a newly generated UI, while also contributing to backend services on Firebase and GCP.

This role includes working closely with internal code-generation agents, so familiarity with AI‑assisted development workflows is highly valued.

• Integrate an existing custom state‑management and persistence layer into a newly generated React 19 + Tailwind CSS v4 UI
• Extend, refactor, and optimize generated React components, ensuring clean boundaries between generated and handwritten code
• Work with Firebase/GCP services such as Firestore, Cloud Functions, Cloud Run, and Identity/Auth
• Implement and maintain API layers and data access patterns between the React front‑end and Python‑based AI agents
• Collaborate with AI engineers using Lang Graph‑powered agents to ensure front‑end workflows align with back‑end AI functionality
• Establish development patterns for working with internal code‑generation systems and safely merging generated code with custom logic
• Participate in code reviews, architectural discussions, and planning for future releases

• 4+ years of professional experience as a front‑end, back‑end, or full‑stack developer
• Strong expertise in React (preferably React 18/19) and component‑based architectures
• Strong understanding of Type Script, state management (React Contexts, Providers, and Hooks, Redux, Zustand, Jotai, or equivalent), and client‑side persistence patterns
• Experience with Tailwind CSS (v3 or v4) and modern styling practices
• Experience with Firebase (Firestore, Auth, Functions) or GCP serverless tooling preferred, but other serverless environments (AWS, Azure) experience would be considered
• Familiarity with Python‑based microservices, especially on Cloud Run
• Experience working with AI‑powered or code‑generation agents (e.g., Codex, Copilot, GPT‑based tooling, internal codegen systems)
• Ability to architect clean interfaces between generated and manual code
• Strong debugging, refactoring, and system‑integration skills

• Exposure to Lang Graph, LLM‑oriented workflows, or agent orchestration systems
• Experience interfacing with MCP servers
• Experience with CI/CD pipelines
• Understanding of prompt engineering or AI‑driven automation workflows
• Experience working in fast‑moving startup environments