Clera
Software Engineer, AI & Data Systems
About this role
Join a seed-stage people data and AI startup to build core platform capabilities spanning backend, data infrastructure, and AI agent systems. You'll own end-to-end technical decisions and ship customer-facing products while working directly with founders in a high-ownership environment.
What you'll do
- Build and deploy customer-facing products and platform capabilities across backend, data, infrastructure, and frontend
- Design and operate high-volume data pipelines and services with emphasis on reliability, security, and observability
- Develop AI agents and agent harnesses, then own them reliably at production scale
- Make architectural decisions, document tradeoffs, and iterate designs as requirements evolve
- Collaborate with founders and customers to translate ambiguous requests into concrete product and technical decisions
- Leverage modern AI development tools while maintaining strong engineering accountability
What they're looking for
- Backend development (APIs, data models, distributed systems)
- Data pipeline design and operation at scale
- AI-native development (LLMs, agent frameworks)
- Production system ownership and operations
- Systems architecture and tradeoff analysis
- Software engineering fundamentals
- Identity resolution or data matching systems (preferred)
- Full-stack capability across product and infrastructure
Benefits
- Direct exposure to founders and customers
- High ownership and autonomy over end-to-end systems
- Opportunity to work on AI and data infrastructure at scale
- Fast-moving, early-stage environment with rapid iteration
- On-site collaboration in San Francisco
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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
- Tell us about a production system you owned end-to-end from architecture through deployment and operations—what were the biggest challenges?
- Describe your experience building and operating high-volume data pipelines. How did you approach reliability and observability?