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Clera

Founding Engineer

remote (Remote)fulltimemidAdded today

About this role

Join a Seed-stage AI infrastructure startup as a Founding Engineer to design and build high-throughput backend systems powering an LLM gateway. You'll own core architecture decisions, work directly with founders, and shape the technical direction of a company serving billions of tokens daily.

What you'll do

  • Design and build core backend infrastructure for a production-grade AI gateway handling high throughput and sub-20ms latency requirements
  • Architect microservices systems using Go for the LLM gateway and Python for ML/AI services
  • Make critical decisions on distributed systems design, database selection, caching strategies, and API platform architecture
  • Profile and optimize performance for latency-sensitive, high-traffic systems
  • Deploy, manage, and scale services using Kubernetes in production
  • Collaborate with founders to translate product vision into scalable engineering solutions

What they're looking for

  • Go (Golang) backend development
  • Distributed systems design and scalability
  • Kubernetes in production environments
  • SQL and NoSQL database design and optimization
  • Caching strategies and performance profiling
  • API platform architecture
  • Concurrency patterns and multi-threaded programming
  • Python (for ML/AI services)

Benefits

  • Significant equity in a Seed-stage startup
  • Direct influence over product and company direction from day one
  • High-ownership, high-impact environment working with experienced founders
  • Greenfield architecture and technology stack decisions
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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 distributed system you've architected — what were the critical design decisions and trade-offs?
  • Describe your experience optimizing a high-traffic backend system to meet strict latency requirements. What bottlenecks did you identify and how did you resolve them?
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