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Clera

Software Engineer

San Francisco$150k–$300kfulltimemidAdded today

About this role

Join an early-stage supply chain startup as a foundational engineer, designing AI coding agents and building the core infrastructure platform that powers integrations. You'll own systems end-to-end, establish engineering practices, and shape the technical direction as one of the first engineers on the team.

What you'll do

  • Design and build purpose-specific AI coding agents for supply chain connectivity use cases
  • Develop and maintain core infrastructure for hosting and running integrations (lightweight PaaS-style runtime)
  • Own systems end-to-end from agent platform through integrations runtime with full architectural ownership
  • Establish engineering patterns, practices, and standards for the team
  • Contribute across agentic and infrastructure sides of the product to support company priorities
  • Make foundational technical decisions that will impact the product and team for years

What they're looking for

  • TypeScript and full-stack development
  • AI agents and LLM tooling (current patterns and frameworks)
  • Systems design and infrastructure architecture
  • End-to-end product ownership and shipping
  • Platform/runtime development
  • CS fundamentals and software engineering principles
  • High agency and autonomous problem-solving
  • Startup environment experience

Benefits

  • Salary: $150,000–$300,000 annually
  • Opportunity to shape foundational technical direction at an early-stage company
  • End-to-end ownership of complex systems
  • Work with cutting-edge AI agent technology
  • On-site team environment in San Francisco
  • Early employee status with significant impact
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Clera

Clera builds an agentic operating system that automates complex workflows and processes through AI agents, with a platform designed to simplify distributed infrastructure management for developers. The company is hiring Founding Engineers, Customer Engineers, and Product Engineers to develop both backend systems and user-facing interfaces across their AI automation products.

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Likely interview questions

  • Walk us through a complex system you owned end-to-end at your last startup. How did you approach the architectural decisions?
  • What experience do you have building with AI agents and LLMs? Describe a project where you shipped agentic functionality to production.
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