Clera
Founding Engineer
About this role
A seed-stage AI data infrastructure startup seeks a Founding Engineer to design and operate core systems for a people-data and AI agent platform. You'll work directly with leadership on end-to-end projects, from infrastructure and APIs to LLM-powered workflows, with significant ownership and influence over technical direction through Series A.
What you'll do
- Design and build core infrastructure for APIs, LLM workflows, scraping systems, and knowledge graph architecture
- Architect production-grade systems handling millions of API requests with focus on performance and cost efficiency
- Own projects end-to-end from problem definition through deployment and iteration
- Collaborate with CEO and CTO on technical decisions and roadmap priorities
- Contribute across the stack including documentation, tooling, and experimental features
- Maintain reliable systems across cloud and Linux server environments
What they're looking for
- Production software shipping (1+ years required)
- APIs and distributed systems design
- Microservices and data pipelines
- LLMs and AI agents
- AWS or GCP cloud infrastructure
- Linux server environments
- High agency and first-principles thinking
- Performance and reliability optimization
Benefits
- Salary: $150,000–$220,000 USD annually
- Early-stage equity as founding team member
- Direct collaboration with CEO and CTO
- Significant technical ownership and influence
- On-site in San Francisco, CA
- 0-to-1 building opportunity in fast-moving environment
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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 system you shipped end-to-end. What were the key performance and reliability challenges, and how did you approach them?
- Describe your experience designing or maintaining APIs at scale. How have you approached performance optimization and cost efficiency?