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.
We’re hiring a Software Engineer, Backend 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.
Contribute to autonomous agent capabilities and tool execution workflows
Build and extend integrations with production systems
Support development of agent evaluation and observability tooling
Work with senior engineers to design, implement, and ship features
Learn how to build reliable AI systems operating in production environments
1–2 years of professional software engineering experience
Strong fundamentals in software engineering and system design
Experience programming in Python (experience with other languages is a plus)
Interest in AI, ML, and agentic systems
A desire to learn quickly and work on real production problems
Exposure to AI/ML systems or LLM-based products
Experience with distributed systems or cloud infrastructure
Startup or fast-paced team experience
Small teams, big impact
Radical candor in a positive environment
In-person collaboration
AI-first in everything we do
Intro Call & Technical Screen
Software engineering session
System design
Bar raiser (product & engineering practices)
Skills Required
- 1-2 years of professional software engineering experience
- Strong fundamentals in software engineering and system design
- Experience programming in Python
What We Do
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.
