---
title: "Applied AI Engineer"
company: "Clera"
company_url: "https://www.remjobs.works/companies/clera"
url: "https://www.remjobs.works/job/clera-applied-ai-engineer-55bf1a6d-a1ef-4768-933a-68998de0db71"
apply_url: "https://jobs.ashbyhq.com/clera/3692832e-7bec-4234-9a75-0f2b789fb525"
workplace: onsite
location: "San Francisco"
employment_type: full-time
seniority: mid
role: ai-machine-learning
region: united-states
date_posted: 2026-09-23T17:11:52.770Z
first_seen_by_remjobs: 2026-09-23T17:42:29.045Z
---

# Applied AI Engineer

**Clera** · San Francisco

Apply: https://jobs.ashbyhq.com/clera/3692832e-7bec-4234-9a75-0f2b789fb525

## About Clera

Stop applying to startups. Start getting introduced. Clera connects you directly with hiring managers at the companies you want to work for.

## About the role

##### About the Role

You will own the agentic infrastructure at a well-funded AI infrastructure startup, building the systems that let AI agents execute reliably, retain context over months, and know when to involve a human. This is a founding engineer role where your decisions directly shape how agents plan, remember, fail, and recover in production.

##### What You'll Do

- Build and maintain core infrastructure that enables agents to execute tasks reliably across dozens of iterations.

- Design and implement memory systems that retain months of client context extracted from messy, real-world operational data.

- Develop eval harnesses that teams actually trust to make production deployment decisions.

- Own the full loop: build, measure, break, fix, and improve agent systems based on production feedback.

- Ship agent systems directly to real customers and iterate on them based on live feedback.

- Contribute across infrastructure, orchestration, customer collaboration, and early hiring as needed.

##### What We're Looking For

- 3 or more years shipping LLM agents that ran unattended in production for real users, with a clear understanding that the model is the easy part.

- Proven experience building eval harnesses that were actually used to make production shipping decisions.

- Strong Python proficiency applied to production systems, not prototypes.

- Experience with agent memory management, context retrieval, and orchestration on real operational data (not demo RAG pipelines).

- Hands-on experience with agent orchestration frameworks, workflow management, or infrastructure tooling.

- Experience implementing failure recovery, retry logic, or reliability patterns in production agent systems.

- Bonus: open-source agent tooling contributions, experience with human-in-the-loop or approval workflows, or a founded/led technical project.

- Exceptional intensity and execution, comfortable owning work well beyond a narrow specialty at an early-stage company.

##### Compensation & Benefits

- Base salary: $150,000 to $250,000 USD annually.

- Equity: meaningful early equity stake.

- Relocation support and visa sponsorship available.

##### Location

On-site in San Francisco, CA, United States. Relocation support is provided.

---

Source: Clera's own career page, read by RemJobs. Canonical HTML version: https://www.remjobs.works/job/clera-applied-ai-engineer-55bf1a6d-a1ef-4768-933a-68998de0db71