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Clera

Founding Engineer

San Francisco$200k–$300kfulltimemidAdded today

About this role

Join an early-stage B2B SaaS startup as the second engineering hire to build AI agents for industrial ingredient manufacturing. You'll own full-stack development across backend systems, LLM-powered features, and frontend UI while working directly with the founding team on a high-impact product.

What you'll do

  • Build backend systems to ingest and process unstructured documents from customer ERPs and inboxes, including large-scale PDF pipelines
  • Develop LLM-powered agents that autonomously complete complex, multi-page compliance and food safety documents
  • Own full-stack features from backend services through UI without waiting for specialists
  • Ship rapidly and iterate based on real user feedback
  • Integrate multiple LLM model providers into production systems
  • Design and maintain relational database schemas for unstructured data processing

What they're looking for

  • Full-stack development (backend and frontend)
  • Backend services and API design
  • LLM integration and AI agent development
  • Kotlin and Spring Boot
  • React and Next.js
  • PostgreSQL and relational database design
  • Document processing and PDF parsing
  • Cloud infrastructure (GCP, AWS, or Azure)

Benefits

  • Equity package (0.5% to 2%)
  • High autonomy and direct influence on product decisions
  • Full-stack ownership across the entire platform
  • Early-stage startup environment with rapid iteration
  • Work on high-impact problems in food supply chain
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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 production LLM feature you shipped—what were the tradeoffs you made and what would you do differently?
  • Describe your experience with document processing or PDF parsing. What was the most complex real-world data challenge you solved?
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