Cleric

Software Engineer, Backend

5mo ago
140000 –170000 USD / yearUSAJunior
Cleric

Software Engineer, Backend

5mo ago
140000 –170000 USD / yearUSAJuniorpythonsystem design

Build and scale an autonomous AI agent by developing backend production systems for real customer-facing features.

Responsibilities

  • 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.

Requirements

  • 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 to apply

  • Intro Call & Technical Screen
  • Software engineering session
  • System design
  • Bar raiser (product & engineering practices)

Other

  • 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.
  • 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
  • Small teams, big impact
  • Radical candor in a positive environment
  • In-person collaboration
  • AI-first in everything we do