# Applied AI Engineer at Clera

Applied AI Engineer at Clera in San Francisco. On-site, full-time, paying $150k–$250k. Posted November 2, 2026.

- Company: Clera
- Location: San Francisco
- Workplace: On-site
- Job type: Full-time
- Pay: $150k–$250k
- Experience: 3+ years
- Posted: 2026-11-02
- Apply: https://jobs.ashbyhq.com/clera/7fc644ed-ef12-4e91-b755-710e55bfffc1/application
- Source: https://jobmagic.ai/jobs/applied-ai-engineer-clera-95xwcf

## Requirements

- At least 3 years of experience building and shipping LLM agents that ran unattended in production for real users.
- Strong Python skills and hands-on experience building production systems.
- Experience implementing agent memory and context retrieval for real operational data, not only demo datasets.
- Experience building evaluation harnesses used to guide production deployment decisions.
- Experience with agent orchestration, infrastructure, workflow management, or agent tooling.
- Experience implementing production reliability patterns, including failure recovery and retry logic.
- Evidence of technical ownership, such as taking a project from conception to production, founding or leading a technical project, or contributing to open-source agent tooling or LLM infrastructure.
- Early engineering experience at a high-growth or AI-focused startup, experience building complex production systems, or a strong technical education background.

## Description

### About the Role

Build and own agent infrastructure for an AI-driven services company. You will help make agents reliable in production, with durable context, trustworthy evaluations, and clear paths for human intervention.

### What You'll Do

- Build and maintain infrastructure that helps agents execute tasks reliably across many iterations.

- Design memory and retrieval systems that preserve useful context from messy operational data over time.

- Develop evaluation harnesses that teams can use to make production deployment decisions.

- Measure, test, troubleshoot, and improve agent systems, including failure recovery and retries.

- Ship agent systems to customers and iterate based on production feedback.

- Contribute across infrastructure, orchestration, customer collaboration, and team growth.

### What We're Looking For

- At least 3 years of experience building and shipping LLM agents that ran unattended in production for real users.

- Strong Python skills and hands-on experience building production systems.

- Experience implementing agent memory and context retrieval for real operational data, not only demo datasets.

- Experience building evaluation harnesses used to guide production deployment decisions.

- Experience with agent orchestration, infrastructure, workflow management, or agent tooling.

- Experience implementing production reliability patterns, including failure recovery and retry logic.

- Evidence of technical ownership, such as taking a project from conception to production, founding or leading a technical project, or contributing to open-source agent tooling or LLM infrastructure.

- Early engineering experience at a high-growth or AI-focused startup, experience building complex production systems, or a strong technical education background.

### Compensation & Benefits

$150,000 to $250,000 USD base salary, plus meaningful early equity. Visa sponsorship and relocation support are available.

### Location

On-site in San Francisco, United States.