---
title: "Applied AI Engineer"
company: "Clera"
company_url: "https://www.remjobs.works/companies/clera"
url: "https://www.remjobs.works/job/clera-applied-ai-engineer-003256af-a356-455d-ba67-01fe86e6652d"
apply_url: "https://jobs.ashbyhq.com/clera/832a9fc1-a2ff-49df-86c7-2c257e7f62b1"
workplace: onsite
location: "San Francisco"
employment_type: full-time
seniority: mid
role: ai-machine-learning
region: united-states
skills: ["llm", "python"]
date_posted: 2026-09-16T15:03:04.799Z
first_seen_by_remjobs: 2026-09-16T15:20:27.594Z
---

# Applied AI Engineer

**Clera** · San Francisco

Apply: https://jobs.ashbyhq.com/clera/832a9fc1-a2ff-49df-86c7-2c257e7f62b1

## 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 seed-stage AI startup building the foundational layer for AI-native service operations. This means designing and shipping the systems that let agents execute reliably in production, retain months of client context, and know when to hand off to a human. This is a foundational engineering role at a very early team, with outsized scope and impact from day one.

##### 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 from messy, real-world operational data.

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

- Own the full loop: build it, measure it, break it, fix it, and make it learn.

- Ship agent systems for real customers and iterate directly based on production feedback.

- Contribute across infrastructure, orchestration, customer collaboration, and early hiring as the team grows.

##### What We're Looking For

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

- Hands-on experience building eval harnesses that were actually used to make production deployment decisions.

- Experience with retrieval and memory systems that work on real, messy operational data, not demo RAG pipelines.

- Strong Python proficiency for building production systems end to end.

- Experience with agent orchestration, workflow management, or reliability patterns such as failure recovery and retry logic.

- Experience building agent tooling, frameworks, or libraries is a strong plus.

- Experience with human-in-the-loop or approval workflow systems is a plus.

- Track record of intensity and execution: you force things into existence; open-source contributions or a founded technical project are a bonus.

##### Compensation & Benefits

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

- Meaningful early equity.

- Relocation assistance provided.

- Visa sponsorship available.

##### Location

On-site in San Francisco, CA, United States.

---

Source: Clera's own career page, read by RemJobs. Canonical HTML version: https://www.remjobs.works/job/clera-applied-ai-engineer-003256af-a356-455d-ba67-01fe86e6652d