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# Founding Software Engineer

- **Company:** CLERA, LLC
- **Location:** San Francisco, CA, United States
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Artificial Intelligence, Amazon Web Services, PostgreSQL, Next.js, Systems Integration, TypeScript, Google Cloud, ReactJS, Large Language Models
- **Published:** June 8, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=8d7f33e0d95c0597

## About the Role

Do you have experience in Validation design?, * Strong CS fundamentals.

 * Hands-on experience building or integrating large language models (LLMs), tool-calling, multi-step reasoning, and MCP protocols.
 * Experience designing and implementing LLM evaluation frameworks with automated benchmarks, human-in-the-loop validation, and A/B testing.
 * Demonstrated ability to deliver end-to-end full-stack features with scalable architecture.
 * Startup/early-stage company experience with an ownership mindset.
 * Proficiency with the full tech stack: TypeScript, React.js, Next.js, PostgreSQL, GCP, AWS.
 * Proficiency in optimizing LLM inference performance, cost efficiency, and latency across multiple model architectures.

## Description

We're building an AI motion design platform and this is our founding engineering hire. You'll work closely with the founders to shape the technical foundation, own end-to-end development, and help scale a product designed to empower millions of users with fast, high-quality animations., * Partner with the founders to deliver user-centric product solutions from concept to production.

 * Own end-to-end development of full-stack features with scalable architecture design.
 * Build and optimize agentic LLM systems incorporating tool-calling, multi-step reasoning, and MCP protocols.
 * Design comprehensive LLM evaluation frameworks with automated benchmarks, human-in-the-loop validation, and A/B testing.
 * Optimize LLM inference performance, cost efficiency, and latency across multiple model architectures.
 * Develop a high-performance motion graphics engine.
 * Drive architectural decisions that support scalable growth to millions of users.


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