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Cleric

Software Engineer, Backend

Reposted 5 Hours Ago
In-Office
San Francisco, CA, USA
140K-170K Annually
Junior
In-Office
San Francisco, CA, USA
140K-170K Annually
Junior
The Software Engineer, Backend will build and scale an autonomous AI agent, focusing on system integrations, tool execution workflows, and real customer-facing features.
The summary above was generated by AI
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, 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.

What you’ll do
  • 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

You have
  • 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

Nice to have
  • Exposure to AI/ML systems or LLM-based products

  • Experience with distributed systems or cloud infrastructure

  • Startup or fast-paced team experience

How we work
  • Small teams, big impact

  • Radical candor in a positive environment

  • In-person collaboration

  • AI-first in everything we do

Interview process
  • Intro Call & Technical Screen

  • Software engineering session

  • System design

  • Bar raiser (product & engineering practices)

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