FullStack Developer to $5500

We're a well-funded Silicon Valley startup building next-generation AI automation tools for the logistics and operations industry. Our mission is to transform how people work through fully agentive AI systems that not only power our product but accelerate our own development process.

We've closed our funding round this summer and are scaling fast with a world-class technical and executive team. This is your chance to help build a platform where AI builds with you—from backend logic to live voice integrations and autonomous workflows.

What You'll Do

• Develop and maintain core platform features across both frontend and backend
• Build rapid prototypes and production workflows using integration platforms (N8N, Make, Zapier)—this is a core part of the role, not optional
• Design and build robust APIs, automation flows, and real-time integrations with external systems
• Work across our stack—TypeScript/Node.js for core features, integration tools for automation, AI platforms for agent development
• Collaborate closely with engineers, designers, and product leads in fast weekly sprints
• Deploy, monitor, and optimize apps on Vercel and cloud infrastructure
• Contribute to the AI agent architecture, improving how autonomous workflows operate
• Explore and integrate emerging AI technologies to enhance developer efficiency and platform intelligence

You Bring

• Strong experience with TypeScript and Node.js
• Solid understanding of backend architecture, data flows, and API design
• High flexibility and willingness to work across different tools and platforms—not just traditional code
• Hands-on experience (or strong interest) in integration/automation platforms like N8N, Zapier, Make, or similar—this is critical
• Comfort with rapid prototyping and iterating quickly using the best tool for the job
• Curiosity and ability to dig into new technologies and integrations quickly
• Experience (or strong interest) in AI-driven systems, agent frameworks, or automation platforms
• A proactive, builder mindset—you move fast, debug deep, and care about clean, maintainable code
• Pragmatic approach to tooling: you choose the right solution (code vs. no-code vs. low-code) based on the problem

Interview Process

1. Code review screen (20 min)
2. Technical interview with an engineer
3. Interview with CTO
4. Offer