hirly
Sign inGet started free

Clera

Applied AI Engineer

San Francisco

See how you match this job — and similar ones. Free.

Upload your resume and hirly scores it against this role at Clera first, then against similar open jobs, and shows where you fit and why.

PDF or DOCX, up to 12MB. No sign-up to see your matches.

Get past the screening software and onto a recruiter's desk

hirly rewrites your resume for this job — matching the keywords and skills in the posting, moving your most relevant experience to the top, and writing a cover letter to fit. About 30 seconds.

  • Keywords matched to this posting
  • Fit score before you apply
  • Cover letter included

Matched against 2.6M live jobs from 190,000+ employers in 200+ countries.

Tailor my resume for this job →

Apply from your AI assistant

Connect hirly to Claude and ask it to apply to this job. hirly tailors your resume, fills the employer’s form and asks before sending. ChatGPT: manual setup today.

See how it works

Some employer sites stop an application at a CAPTCHA or sign-in and hand it back with a link. Applying needs a paid plan. Works with any assistant that supports MCP.

hirly's read of this role

Seniority
Mid level
Stated salary
$150,000 – $250,000 per year
Country
US
Work mode
On-site / unstated
First seen by hirly
3 Oct 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

About the Role

Join an early-stage team building AI infrastructure for service businesses. As an Applied AI Engineer, you will own the systems that help agents execute tasks reliably, retain useful context, and involve people when needed. Your work will shape how agent systems plan, recover from failures, and improve in production.

What You'll Do

Build and maintain infrastructure that enables agents to complete tasks reliably across many steps.

Design memory and retrieval systems that preserve relevant context from complex operational data.

Develop evaluation harnesses that teams can use to make informed production release decisions.

Measure agent performance, investigate failures, and improve reliability and recovery patterns.

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

Contribute across orchestration, infrastructure, customer collaboration, and technical 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 experience building production systems.

Experience creating evaluation harnesses that have informed production deployment decisions.

Hands-on background in agent orchestration, infrastructure, workflow management, or reliability engineering.

Experience with retry logic, failure recovery, and other production reliability patterns for agents.

Experience building memory and context retrieval systems for messy operational data, beyond demo datasets.

Experience developing agent tools, frameworks, or libraries; open-source contributions or leading a technical project from idea to production are also relevant.

Compensation & Benefits

Base salary is $150,000 to $250,000 USD annually, with meaningful early equity. Relocation assistance and visa sponsorship are available.

Location

This is an on-site position in San Francisco, United States.

Original posting on Clera's site ↗

Listed on hirly, a job board. hirly is not the employer: Clera is hiring for this role.

Similar jobs

Browse similar roles

Want this one?

Upload your resume and hirly rewrites it for this job and writes the cover letter — in about thirty seconds, before you sign up.

Tailor my resume for this job