Clera
Full Stack Engineer
About this role
Join an early-stage AI infrastructure startup as a full-stack engineer building an enterprise context layer for reliable AI agents. You'll own complete product surfaces end-to-end—from customer-facing interfaces to backend APIs and data models—working independently on architecture decisions and shipping to production.
What you'll do
- Own complete product surfaces end-to-end including interfaces, APIs, and data models
- Make complex system behavior legible and performant for platform users
- Allocate roughly 60% frontend/API work and 40% backend services development
- Define architecture, ship to production, monitor behavior, and resolve issues
- Make independent design and product decisions without handed-down specifications
- Build intuitive customer-facing surfaces that remove growth bottlenecks
What they're looking for
- Full-stack application development with production experience
- React, Vue, or equivalent modern frontend frameworks
- Backend services in Python, Go, Node.js, Java, or similar
- Database design and data modeling for real-time systems
- Distributed systems architecture and design patterns
- Independent architectural decision-making and ownership
- Product-oriented thinking and end-to-end shipping mindset
- Comfort with ambiguity and bias toward action
Benefits
- Work with a small, senior engineering team
- Significant ownership and autonomy over product direction
- Opportunity to shape AI infrastructure for enterprise applications
- On-site work in San Mateo with visa sponsorship available
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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 full-stack product you shipped end-to-end—how did you handle the frontend, API design, and backend architecture decisions?
- Describe a time you had to make architectural decisions independently without detailed specs. How did you approach it?