Applied AI Engineer
In short. Applied AI Engineer at Clera: a full-time mid-level role, on-site in San Francisco, CA. Posted salary: $150K – $250K. Asks for 3+ years of experience. Main work: Build and maintain infrastructure that helps agents execute tasks reliably across many iterations. Skills mentioned: Python, LLMs, AI agents. Posted Nov 2, 2026, checked on the employer's site 4 min ago.
- Early applicant
- Salary listed
- Sponsorship mentioned
Opens Clera's own application page. No sign-up on Sudo Get Job.
Summary
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.
Quoted from Clera's description, not rewritten.
Skills mentioned
About the role
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.
Opens Clera's own application page. No sign-up on Sudo Get Job.








