AI Product Engineer
Builds demos, automates workflows, and ships features across Lightning products using AI tools and full-stack skills. Works autonomously on high-leverage projects, showcasing agentic AI and Bitcoin protocols to developers.
About the job
What You'll Do
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Build demos and developer experiences that show what's possible on Lightning. End-to-end working applications that showcase Lightning payments, L402-gated APIs, Taproot Assets, and agentic workflows. These demos are how we communicate the value of our platform to developers and partners.
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Automate and augment internal workflows by partnering with engineering, product, business development, and marketing teams to identify where AI can eliminate manual work. Build the tools, scripts, MCP servers, and integrations that make the whole company faster.
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Ship features across products including Terminal Web, LND, and new products. You'll write production code, not just prototypes, but you'll also know when a prototype is the right answer.
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Work autonomously with minimal direction. Understand the company's priorities, identify where you can have the most impact, and execute. Context switch across projects and teams while maintaining quality.
What We're Looking For
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You build and ship production-quality software. You have a portfolio, GitHub profile, or set of projects that demonstrate this.
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You use AI-native development tools (Claude Code, Cursor, Codex, or similar) as part of your daily workflow.
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You're comfortable across the full stack. Our work spans TypeScript, React, Go, Python, and whatever else the problem requires. Go experience is a plus.
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You have strong product instincts and can translate between technical and non-technical contexts.
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You're familiar with agentic AI patterns: tool use, MCP, multi-step workflows, and integrating LLMs into real systems.
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You're self-directed with a bias toward action. You thrive in ambiguous, fast-moving environments.
Nice to Have
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Understanding of Bitcoin, the Lightning Network, L402, or Taproot Assets.
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Experience building developer-facing demos, sample applications, or technical content.
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Contributions to open source projects.
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Experience at a small, high-growth company where wearing many hats was the norm.
Skills
TypeScript, React, Go, Python, Ai-Native Tools, Agentic AI, Mcp, LLMs, Lightning Network, L402
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