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# Founding Engineer

- **Company:** CLERA, LLC
- **Location:** San Francisco, CA, United States
- **Salary:** $160,000.0 - $200,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Human-Computer Interaction, PostgreSQL, Next.js, Software Engineering, Unstructured Data, Google Cloud, ReactJS, Large Language Models, Spring-boot, Backend, Agentic-AI, Kotlin, Front End Software Development, Industrial Software
- **Published:** October 12, 2026
- **Apply:** https://www.juju.com/job/16_a0de912f

## About the Role

* Experience can range from 1 to 10+ years. We value shipped work, ownership, and increasing scope over a specific degree or career length.
 * Prior experience as a founder, founding engineer, or one of the first engineers at an early-stage startup.
 * A track record of building and launching production products or major features that real users rely on.
 * Strong full-stack skills, including the ability to work across backend services, frontend interfaces, and infrastructure.
 * Experience with AI or LLM products, agents, retrieval, or automation, ideally in production.
 * Relevant technologies include Kotlin, Spring Boot, React, Next.js, Postgres, GCP, and commercial LLM providers. Experience with equivalent tools is welcome.
 * Backend experience processing documents or unstructured data and designing relational schemas is valuable.
 * Interest in industrial software, supply chains, food manufacturing, or other traditional industries is a plus.

## Description

Join an early engineering team building AI-powered software for industrial ingredient manufacturers. You will work closely with the founding team, take ownership across the product, and help automate complex document-heavy workflows in a traditionally underserved industry.
What You'll Do

 * Build backend systems that ingest and process real-world documents from customer systems and inboxes.
 * Develop AI agents that complete complex compliance and food safety documents.
 * Own product features end to end, from backend services and data models through to the user interface.
 * Ship quickly, gather feedback from users, and improve the product based on what you learn.
 * Work across application development, infrastructure, and AI as the needs of the team evolve.