---
title: "AI Engineer"
company: "Clera"
company_url: "https://www.remjobs.works/companies/clera"
url: "https://www.remjobs.works/job/clera-ai-engineer-3d30f0c6-8075-4e3e-bc9f-058bd3797fc1"
apply_url: "https://jobs.ashbyhq.com/clera/2ce7c7e9-c3b2-4252-aec5-38d560706c2b"
workplace: onsite
location: "San Francisco"
employment_type: full-time
seniority: mid
role: ai-machine-learning
region: united-states
skills: ["llm", "python"]
date_posted: 2026-09-19T02:15:27.971Z
first_seen_by_remjobs: 2026-09-19T02:34:54.785Z
---

# AI Engineer

**Clera** · San Francisco

Apply: https://jobs.ashbyhq.com/clera/2ce7c7e9-c3b2-4252-aec5-38d560706c2b

## 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

This is a hands-on engineering role at an early-stage healthtech marketplace that connects patients with vetted international clinics for affordable medical care. You will own the patient-facing AI conversation loop end-to-end, diagnosing failures in production and shipping fixes that directly improve patient outcomes. The role sits at the intersection of agent infrastructure and real-world empathy, making it both technically challenging and genuinely meaningful.

##### What You'll Do

- Diagnose why AI conversations with patients fail and ship code fixes to prevent recurrence.

- Build and maintain agent infrastructure including tool integrations, evaluation frameworks, and retrieval systems.

- Automate recurring manual workflows on the clinic operations side, eliminating toil through code.

- Handle patient-facing situations with care when the AI falls short, turning those moments into product insights.

- Own systems end-to-end with minimal oversight, making architectural and implementation decisions independently.

##### What We're Looking For

- Demonstrated ability to build and ship LLM or agent systems end-to-end; professional experience, personal projects, research, or open-source contributions all count equally.

- Hands-on experience with agent infrastructure: evals, RAG and retrieval systems, and tool integrations.

- Proficiency in Python or an equivalent language for building agent and automation infrastructure.

- Strong computer science and mathematics fundamentals; elite academic signals such as top-tier university degrees, published research, or math competition experience are a strong plus.

- Automation instinct: you spot recurring manual workflows and proactively eliminate them through code.

- Comfort owning systems end-to-end with minimal oversight in a fast-moving startup environment.

- Patient-facing warmth and empathy for handling difficult conversations and extracting product lessons from them.

- Familiarity with vector databases, embedding systems, or semantic search is a plus.

- Experience with prompt engineering, fine-tuning, or conversational AI evaluation is a plus.

- Existing US work authorization required; no visa sponsorship available.

##### Compensation & Benefits

Salary range: **$150,000 to $220,000 USD annually.** No visa sponsorship is available; existing US work authorization is required.

##### Location

Full-time, on-site in **San Francisco, California**, five days per week. No remote exceptions.

---

Source: Clera's own career page, read by RemJobs. Canonical HTML version: https://www.remjobs.works/job/clera-ai-engineer-3d30f0c6-8075-4e3e-bc9f-058bd3797fc1