# AI Product Engineer

**Company:** [Lightning Labs](https://hotfix.jobs/companies/lightning-labs)
**Location:** Remote
**Role:** Fullstack Engineering
**Skills:** TypeScript, React, Go, Python, Ai-Native Tools, Agentic AI, Mcp, LLMs, Lightning Network, L402
**Posted:** 2026-03-31

> 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.

## Job Description

## What You'll Do

- 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.

- 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.

- 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.

- 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

- You build and ship production-quality software. You have a portfolio, **GitHub** profile, or set of projects that demonstrate this.

- You use **AI-native development tools** (**Claude Code**, **Cursor**, **Codex**, or similar) as part of your daily workflow.

- 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.

- You have strong product instincts and can translate between technical and non-technical contexts.

- You're familiar with **agentic AI patterns**: tool use, **MCP**, multi-step workflows, and integrating **LLMs** into real systems.

- You're self-directed with a bias toward action. You thrive in ambiguous, fast-moving environments.

## Nice to Have

- Understanding of **Bitcoin**, the **Lightning Network**, **L402**, or **Taproot Assets**.

- Experience building developer-facing demos, sample applications, or technical content.

- Contributions to **open source** projects.

- Experience at a small, high-growth company where wearing many hats was the norm.

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