Clera
Software Engineer
About this role
Join a seed-stage supply chain startup as an early software engineer to build AI agent systems and core infrastructure from the ground up. You'll own end-to-end systems spanning agentic AI development and deployment platforms, with significant architectural authority and the opportunity to shape engineering culture.
What you'll do
- Design and build purpose-specific AI coding agents for supply chain use cases
- Develop and maintain core infrastructure for hosting and running integrations
- Own systems end-to-end with full architectural decision-making authority
- Establish engineering patterns and practices for the team
- Work across both agentic and infrastructure layers of the product
- Ship complex software products with minimal direction
What they're looking for
- TypeScript and full-stack product development
- AI agent and LLM development with production patterns
- Infrastructure and deployment platform design
- End-to-end system ownership and architecture
- Computer science fundamentals
- Startup product development experience
- High-agency self-directed execution
- Supply chain domain knowledge (preferred)
Benefits
- Equity stake in seed-stage company
- Significant architectural and product influence
- Opportunity to define engineering culture early
- Full-time, on-site role with clear ownership
- Work on cutting-edge AI agent technology
- High-impact position with broad technical scope
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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.
View all jobs at CleraLikely interview questions
- Walk us through a production AI agent or LLM system you've built—what were the key architectural decisions?
- Describe a time you owned a complex system end-to-end with minimal direction. How did you approach it?