Clera
AI Engineer
- Confirmed live in the last 24 hours
- $180k–$220k
- Mid level
- Full-time
- On-site · San Francisco
- 1+ yrs exp
- Added today
About this role
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.
Written by Clera. Original job post
Skills mentioned
- Machine Learning
- Python
- PyTorch
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Clera
Clera builds an agentic operating system that automates complex workflows and processes through AI agents, with a platform designed to simplify distributed infrastructure management for developers. The company is hiring Founding Engineers, Customer Engineers, and Product Engineers to develop both backend systems and user-facing interfaces across their AI automation products.
- Industry
- Technology & Software
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