AI Product Engineer
Lightning LabsVisit Lightning Labs website
Lightning Labs develops open-source software and non-custodial financial services that power faster, lower-cost Bitcoin payments over the Lightning Network.
San Francisco, California, United States
Funding history
About Lightning Labs
Lightning Labs is a software company building infrastructure for the Bitcoin Lightning Network. Its product stack includes Lightning Network node software, Taproot Assets, liquidity marketplaces, and non-custodial on-chain/off-chain liquidity services for developers, businesses, and node operators.
Skills
About the Role
Build demos showcasing agentic commerce, automate workflows, stand up MCP servers, and ship production features across Lightning Labs products. Work autonomously across projects and teams, using AI-native tools and strong product judgment.
Requirements
- Build and ship production-quality software with a portfolio, GitHub profile, or projects demonstrating this.
- Use AI-native development tools such as Claude Code, Cursor, Codex, or similar daily.
- Work comfortably across TypeScript, React, Go, Python, and other technologies as needed.
- Have strong product instincts and translate between technical and non-technical contexts.
- Be familiar with agentic AI patterns, tool use, MCP, multi-step workflows, and LLM integration.
- Be self-directed with a bias toward action and a track record of delivery.
Responsibilities
- Build demos and developer experiences showcasing Lightning payments, L402-gated APIs, Taproot Assets, and agentic workflows.
- Automate and augment internal workflows with tools, scripts, MCP servers, and integrations.
- Ship production features across Terminal Web, LND, and new products.
- Work autonomously to identify and execute high-impact projects.
- Context switch across projects and teams while maintaining quality.