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# SWE (North America)

- **Company:** LUZID
- **Location:** San Francisco, CA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Cloud Computing, Python (Programming Language), Salesforce.Com, SAP (Applications), SQL Databases, TypeScript, Enterprise Software Applications, Large Language Models, Multi-Agent Systems, Data Pipelines
- **Published:** July 27, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=ed6b477bc30601f4

## About the Role

* You have 3+ years of product engineering experience with a track record of shipping features users love
 * You're a generalist and is comfortable across the stack (TypeScript, Python, SQL, cloud infrastructure) and know when to reach for each
 * You've worked on a small team where "product engineer" meant you were also partly the PM, the designer, and developer
 * You're comfortable talking to customers, extracting what actually matters from what they say, and turning it into software
 * You care about what you build, not just how it's built

Strong Candidates May Also Have

 * Experience building LLM-powered features or agentic systems in production
 * Familiarity with enterprise software ecosystems: SAP, Salesforce, ERP and CRM more broadly
 * A portfolio that includes something you built that you are passionate about

## Description

Product Engineers at Luzid own the outcomes of their code. You'll work on a product that sits inside live enterprise implementations, used by consultants managing multi-million dollar projects under real deadline pressure. The feedback loop is tight, the stakes are high, and the surface area is large.

You'll build across the full stack: data pipelines, LLM integrations, agentic workflows, and the interfaces ERP teams rely on daily in the field. You'll talk directly to customers, sit with the friction they describe, translate it into something buildable, ship it, and own it all the way through deployment and beyond.

You bring strong engineering fundamentals and take best practices seriously. You use AI tooling to move faster without cutting corners, treating it as a force multiplier rather than a shortcut. And while you're a strong individual contributor who can drive a feature from zero to production on your own, you make the people around you better.


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