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# Founding Engineer

- **Company:** ONE STOP COLLECTIBLE CORP
- **Location:** New York, NY, United States (Remote available)
- **Experience:** Expert
- **Salary:** $170,000.0 - $220,000.0
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Web Scraping, Data Mining, Information Extraction, Reverse Engineering, Large Language Models, Multi-Agent Systems, Model Validation, Backend, Infrastructure Automation Frameworks, Deployment Automation, Machine Learning Operations, Front End Software Development
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/founding-engineer-clera-9780225

## About the Role

* 5+ years of experience shipping production software, or equivalent demonstrated skill in a 0*1 environment.
 * Proven track record launching meaningful products on small, early-stage teams with rapid iteration cycles.
 * Hands-on experience building LLM applications and agentic systems, including RAG, model evaluation, and fine-tuning.
 * Experience designing and maintaining high-scale distributed backend systems (thousands of RPS, millions of data rows daily).
 * Full-stack capability spanning backend, frontend, and infrastructure layers.
 * Proficiency with infrastructure as code and deployment automation.
 * Deep domain expertise in antibot systems, reverse engineering, JavaScript deobfuscation, or browser automation is a strong plus.
 * Experience with web scraping, data extraction, or web automation at scale is a strong plus.
 * A bias toward action and comfort with the pace and ambiguity of an early-stage startup.
 * Preference for in-person, collaborative work with a tight-knit team.

## Description

This is a founding engineering role at an early-stage data infrastructure company, working directly with the CTO to build core systems for extracting, analyzing, and visualizing web data at scale. You'll own significant pieces of the product - from autonomous agents to distributed backend services - powering enterprise customers who depend on structured, real-world web data every day., * Build autonomous agents that solve complex, real-world information extraction problems across diverse and unpredictable web environments.

 * Design and iterate on a full-stack, self-serve application that makes sophisticated workflows intuitive for non-technical users.
 * Maintain and scale backend architecture to reliably process thousands of requests per second and tens of millions of rows of data daily.
 * Contribute broadly across the stack - infrastructure as code, ML pipelines, website updates, and whatever else keeps the team moving fast.


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