
Cleric is an AI-powered agent designed to manage and resolve issues in production environments autonomously. It uses an LLM based reasoning engine to react to, interpret, and implement solutions to production issues.

Cleric is an AI-powered agent designed to manage and resolve issues in production environments autonomously. It uses an LLM based reasoning engine to react to, interpret, and implement solutions to production issues.
What they do: Autonomous AI Site Reliability Engineer (SRE) that investigates production incidents and delivers evidence-backed diagnoses and remediation guidance
Launch / early access: Public introduction and early access announced March 21, 2024
Seed funding: Seed financing led by Zetta Venture Partners (announced $4.3M); later company statements report total seed $9.8M with Vertex Ventures US lead
Founders: Shahram Anver (CEO) and Willem Pienaar (CTO)
| Company |
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Site reliability / incident management and automation for production systems
Enterprise software / DevOps / Site Reliability
$4.3M
Initial seed announced by the company on March 21, 2024
$9.8M
Company statements report total seed funding of $9.8M with lead by Vertex Ventures US and follow-on from Zetta Venture Partners
“Supported by venture investors including Zetta Venture Partners and Vertex Ventures US”
Join us at Cleric We’re building an autonomous AI agent that investigates and resolves production incidents. Our agent combines LLMs with tools to understand systems, reason through problems, and take corrective actions — even for issues it hasn’t seen before.
Cleric is already running in production at high-scale companies across fintech, ride-sharing, and autonomous vehicles.
About The Role We’re hiring a Software Engineer, AI to help build and scale our autonomous agent. This role is ideal for engineers who want to build, ship, and work on production AI systems in real-world environments.
You’ll work closely with senior engineers on agent reasoning, integrations, and runtime systems, contributing directly to real customer-facing functionality.
What You’ll Do
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How We Work
Interview process