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AI Engineer

On-site
CleraSan Francisco, CA, US1 day agoWebsite
Fresh
Full-time
Engineering

Compensation

Salary undisclosed
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Description

About the Role

Join the founding engineering team at an early-stage AI company developing a foundational model from scratch with a novel architecture, rather than fine-tuning existing models. This hands-on role contributes to core model development as well as practical, production-ready LLM systems.

What You'll Do

  • Build and improve foundational models across training, reinforcement learning, and model architecture.

  • Develop and ship production LLM applications, including agents, retrieval-augmented generation pipelines, or model-serving systems.

  • Create evaluations, benchmarks, and quality monitoring for LLM systems.

  • Contribute as a hands-on individual engineer across model development and application work.

What We're Looking For

  • One to five years of professional engineering experience.

  • Practical experience building foundational models across the model-building pipeline, including training, reinforcement learning, and architecture.

  • A track record of building and shipping production LLM applications.

  • Strong Python skills and hands-on experience with an ML framework such as PyTorch.

  • Experience evaluating LLM systems through evaluations, benchmarks, or quality monitoring.

  • Interest in a ground-level individual contributor role.

Compensation & Benefits

Base salary range: $180,000 to $220,000 USD annually.

Location

On-site in San Francisco, California. Candidates should be based in the San Francisco Bay Area or willing to work on-site in San Francisco.

Stack

LLMsPythonPyTorchMachine LearningFine-tuningRAGReinforcement Learning
Posted
Oct 19, 2026
Last seen
Oct 19, 2026
First seen
Oct 19, 2026

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