Lead Full Stack Engineer – AI Platform (Startup, 0→1)

This role is with a software development startup building the operating system for business aviation. The platform combines real-time aviation data, AI-driven workflows, and modern software architecture to transform how aircraft, pilots, and operators manage trips and operations.

This is a founding engineering role with direct ownership and massive impact.

The Role

The Staff Full Stack Engineer will join the founding engineering team and take end-to-end ownership of critical features across backend systems and frontend experiences.

This role is built for a high-agency engineer who thrives in early-stage environments, moves quickly, and can take ideas from concept to production.

What You’ll Be Responsible For:

Full-Stack Product Development

- Design, build, and enhance an AI-driven agent powering platform interactions

- Lead development across backend, middleware, and frontend layers

- Own core workflows including trip management, request generation, and user experiences

Systems Integration & Scale

- Integrate with flight management systems to surface real-time aircraft availability and live transponder data

- Build and scale dispatch tools for fleet and pilot management

- Support development of an iOS-first pilot application

AI & Engineering Acceleration

- Leverage AI tools such as Claude and similar LLMs to accelerate development

- Improve engineering workflows through automation and AI-assisted tooling

Infrastructure & Architecture

- Work with containerization and infrastructure tooling including Docker, Kubernetes, and CI/CD pipelines

- Contribute to scalable, production-grade system design

Required Experience

- 5–10+ years of full-stack engineering experience

- Meaningful experience in early-stage startups (pre–Series C)

- Proven ability to take products or major features from 0–1 or 1–scale

- Strong proficiency in JavaScript, TypeScript, Node.js, and React

- Experience using AI in product development and workflow automation

- High-agency mindset with strong ownership and autonomy

Technical & Academic Background

- Bachelor’s or master’s degree in computer science strongly preferred

- Familiarity with Docker, Kubernetes, and modern CI/CD pipelines

- Clear signal of excellence through technical leadership, high-impact work, or academic achievement

Also :

- FAANG-only backgrounds without startup ownership will not be considered

- Aviation passion or pilot background is a strong plus

- Experience with LLMs and AI tooling will strongly differentiate candidates