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Insight Global

Full Stack Engineer

Insight Global, Denver, Colorado, United States, 80285

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Base pay range $115,000.00/yr - $135,000.00/yr

Hiring Partner | People-First Staffing Partner 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.

Responsibilities

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 LangGraph‑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

Required Skills & Experience

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 TypeScript, 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

Nice to Have Skills & Experience

Exposure to LangGraph, 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

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