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Clera

Software Engineer

Los Angeles (Remote)$150k–$300kfulltimemidAdded today

About this role

Join an early-stage supply chain connectivity platform as a foundational engineer to design AI coding agents and build core infrastructure for mission-critical integrations. You'll own systems end-to-end while shaping engineering culture at a high-growth startup.

What you'll do

  • Design and build purpose-specific AI coding agents for supply chain connectivity from scratch
  • Develop and maintain core infrastructure for hosting and running integrations as an internal platform-as-a-service
  • Own core systems end-to-end, from agent platform to integrations runtime
  • Establish engineering patterns and practices that define team and product direction
  • Work across both agentic and infrastructure sides of the platform simultaneously
  • Build products with minimal direction in a fast-moving startup environment

What they're looking for

  • TypeScript and modern full-stack development
  • AI agents and LLM integration with production-ready patterns
  • Infrastructure and platform-as-a-service architecture
  • End-to-end product ownership and systems design
  • Startup engineering and rapid iteration
  • System architecture and design patterns
  • Complex software product development
  • Cross-functional collaboration

Benefits

  • Competitive salary: $150,000–$300,000 annually
  • On-site role in Los Angeles, CA
  • Opportunity to shape engineering culture at founding stage
  • Work on cutting-edge AI and supply chain technology
  • Ownership of mission-critical systems
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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

  • Tell us about a complex software product you shipped end-to-end and the architectural decisions you made.
  • Describe your experience building and deploying AI agents or LLM-powered systems in production.
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