# Senior Full Stack Developer (AI-Native)

React | Redux | Java | Spring Boot | AI-Driven Software Development

## About the Role We are looking for an exceptional

Senior Full Stack Developer

who builds production-quality software across both the front end and back end. This is not a traditional full stack role.

We're looking

for an

AI-native engineer

who has fundamentally changed how they develop software by integrating modern AI agents into every stage of the software development lifecycle. You don't simply experiment with ChatGPT or GitHub Copilot. You rely on tools like

Claude Code, Cursor, or equivalent agentic development platforms

to plan, build, review, test, debug, and deliver production software faster and with higher quality. You remain accountable for every line of code AI produces. If AI has transformed the way you engineer software, we want to talk. ##

What You'll Do

You'll own features from initial requirements through production deployment.

Your responsibilities include: - Design and build responsive, scalable React applications - Develop maintainable Redux architecture for complex application workflows - Build secure, high-performance APIs and services using Java and Spring Boot - Develop supporting services, automation, tooling, or integrations using Node.js or Python - Translate product requirements into technical designs - Write clean, maintainable, production-ready code - Create comprehensive automated testing across the application stack - Debug production issues and improve application reliability - Review code, improve architecture, and drive engineering best practices - Own features through deployment, production validation, and ongoing support ## AI-Native Software Development AI is central to this role.

We're looking

for engineers who use AI throughout the entire development lifecycle, including: - Turning requirements into implementation plans - Understanding unfamiliar codebases - Evaluating architectural approaches - Writing and refactoring code - Code reviews and pull request analysis - Unit, integration, and end-to-end testing - QA automation - Debugging production issues - Technical documentation - Release preparation and validation Beyond IDE autocomplete, you should be comfortable working with: - Claude Code - Cursor - Agentic command-line tools - Repository-level instructions - Automated browser testing - AI-powered development workflows You should understand how to: - Break large initiatives into parallel AI-driven tasks - Orchestrate multiple agents effectively - Provide the appropriate context and constraints to each agent - Merge parallel outputs into a cohesive implementation - Manage context windows across large codebases - Recognize when AI output requires additional validation - Verify every AI-generated change before it reaches production ## What We're Looking For ### Required

Qualifications

• - 7+ years of professional software development experience -
• Strong production experience with

React

• -
• Strong production experience with

Redux

• -
• Strong production experience with

Java

• -
• Strong production experience with

Spring Boot

• Professional experience with

Node.js or Python

- Experience building customer-facing web applications - Experience designing and consuming REST APIs - Experience with relational databases - Experience with authentication and authorization - Experience with automated testing - Strong debugging and production troubleshooting skills - Experience using AI throughout the software development lifecycle - Hands-on experience with agentic development tools such as Claude Code, Cursor, or equivalent - Ability to validate, refine, and take ownership of AI-generated code ### Nice to Have We're especially interested in candidates with experience in: - Redux Toolkit - Redux-Saga - Material UI - DevExpress - Cloud-native applications - Distributed systems - Event-driven architectures - API, integration, contract, and browser automation testing - Production observability - Incident response - Workflow automation - Logistics - Physical security - IoT - Video platforms - Computer vision - Designing reusable AI workflows, prompts, development guardrails, or evaluation frameworks ## Ideal Background We're most interested in engineers who have worked in: - B2B SaaS companies - Subscription or recurring revenue businesses - Cloud-native software companies - Product-focused technology organizations - Successful startups - Large technology companies with strong engineering practices ## What Success Looks Like The right person can confidently discuss topics such as: - How AI has fundamentally changed their engineering workflow - Managing multiple AI agents across large implementation efforts - Maintaining context across complex repositories - Validating AI-generated code before production - Designing scalable React and Redux applications - Building resilient Spring Boot services - Lessons learned from AI-assisted development projects - Balancing AI acceleration with engineering judgment ## Why Join Us You'll work on meaningful software where engineering quality, AI-driven productivity, and product ownership are valued equally.

This is an opportunity to join a team that believes modern software engineering isn't about writing every line manually. It's about knowing when to leverage AI, when to challenge it, and when to rely on your own technical judgment to deliver outstanding software.

If you've embraced the next generation of software development and are excited about building scalable products with modern AI tools, we'd love to hear from you.