Senior AI Product Engineer (Full Stack)

Remote • Contract • Long-Term • Performance-Based Upside

We're building the next generation of AI-powered software for small and medium-sized businesses.

We don't build marketing websites or generic CRUD applications. We build AI employees, autonomous workflows, internal operating systems, customer-facing AI products, and enterprise-grade automation that delivers measurable business outcomes.

If you've been looking for a team where you can work on cutting-edge AI projects instead of another dashboard, we'd love to talk.

What You'll Build

Examples of projects include:

• AI agents and autonomous workflows
• AI-powered SaaS applications
• Custom business operating systems
• Customer portals
• AI sales, support, and operations tools
• Internal productivity platforms
• LLM integrations
• Workflow automation
• RAG systems
• Multi-agent architectures
• Voice AI applications
• AI Video Generation Pipelines

Our Typical Tech Stack

You don't need experience with every technology below, but you should be comfortable learning quickly.

Frontend

• Next.js
• React
• TypeScript
• Tailwind CSS

Backend

• Node.js
• Supabase
• PostgreSQL
• REST APIs
• GraphQL (nice to have)
• AWS
• GCP
• Inngest
• Vercel

AI

• OpenAI
• Anthropic SDK
• Gemini
• Vercel AI SDK
• OpenRouter
• MCP
• RAG
• AI Agents
• Prompt Engineering
• Context Engineering
• Harness Engineering

Infrastructure

• Vercel
• GitHub
• Docker
• Cloudflare
• Stripe
• n8n
• Payload CMS (nice to have)

What We're Looking For

You:

• Ship products quickly without sacrificing quality.
• Think like a product engineer, not just a coder.
• Can own features from architecture through deployment.
• Enjoy solving difficult technical problems.
• Write clean, maintainable TypeScript.
• Are comfortable working directly with AI models and APIs.
• Communicate clearly in English.
• Can work independently with minimal management.

Bonus Points

Experience with:

• AI agent frameworks
• LangGraph
• N8N
• Model Context Protocol (MCP)
• Vercel AI SDK
• Anthropic SDK
• Retrieval-Augmented Generation (RAG)
• Vector databases
• Multi-tenant SaaS
• Real-time applications
• Voice AI
• Open-source AI contributions

What Success Looks Like

Within your first 90 days you'll have helped ship production AI systems that customers actually use.

We value shipping, ownership, and business impact over resumes and years of experience.

Compensation

Compensation is based on project work and includes a performance-based revenue share.

Our lead engineers earn 20% of project contract value, however large (we like overpaying the best talent and effort), when they successfully own and deliver client engagements.

High performers receive consistent project opportunities and long-term collaboration.

Hiring Process

1. Review of GitHub and portfolio
2. 30-minute technical interview
3. Paid technical assessment
4. Paid 1-week trial project
5. Long-term contract

To Apply

Please include:

• GitHub profile
• Portfolio or recent projects
• Resume or LinkedIn
• AI applications you've personally built
• Your strongest full-stack project
• Time zone
• Weekly availability

We care far more about what you've built than where you worked.