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# Software Engineer

- **Company:** ONE STOP COLLECTIBLE CORP
- **Location:** Los Angeles, CA, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $150,000.0 - $300,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Systems Integration, TypeScript, Large Language Models, Build Management, Information Technology
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/software-engineer-clera-9843063

## About the Role

* 3+ years shipping and owning complex software products end-to-end, with at least one stint at a VC-backed startup (seed through Series B).
 * Strong proficiency in TypeScript and modern full-stack development.
 * Hands-on experience building with AI agents and LLMs using current, production-ready patterns.
 * Demonstrated ability to build products from scratch with minimal direction and high autonomy.
 * Undergraduate degree in Computer Science or a related engineering discipline, or equivalent demonstrated academic excellence.
 * Background at high-caliber, fast-growing startups rather than exclusively large enterprise or non-tech environments.
 * Nice to have: Former founder or founding/early engineer who built 0*1; side projects demonstrating initiative (agentic tools, launched consumer or developer products).

## Description

This is a high-impact individual contributor role at a fast-growing gig economy and flexible staffing platform, where you'll help build foundational infrastructure from the ground up. You'll own core systems end-to-end - from purpose-built AI coding agents to an integrations runtime platform - and help set the engineering patterns that shape the team's future., * Design and build purpose-specific AI coding agents from scratch to power supply chain connectivity.

 * Develop and maintain core infrastructure for hosting and running integrations (think: an internal mini-deployment platform).
 * Own key systems end-to-end, making foundational architectural decisions across both the agent platform and integrations runtime.
 * Establish engineering patterns and practices that will define how the team builds going forward.
 * Work across both cutting-edge agentic tooling and complex, production-grade infrastructure.


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