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Clera

Software Engineer, AI & Data Systems

San Francisco$200k–$280kfulltimemidAdded today

About this role

An early-stage data infrastructure company is seeking a Software Engineer to build AI-powered identity graph systems and core platform capabilities. You'll own full-stack projects end-to-end, designing and operating high-volume data pipelines and AI agents at massive scale while working directly with founders and customers.

What you'll do

  • Build and ship customer-facing products and core platform capabilities across backend, data, infrastructure, and frontend
  • Design and operate high-volume data pipelines and services at scale with strong reliability and observability
  • Develop AI agents, agent harnesses, and developer tools, then operate them reliably in production
  • Make architecture decisions, articulate tradeoffs, and iterate designs as requirements evolve
  • Collaborate with founders and customers to translate ambiguous requirements into clear product decisions
  • Own production systems end-to-end from concept through deployment and ongoing operations

What they're looking for

  • Backend engineering (APIs, data models, distributed systems)
  • High-volume data pipeline design and operation
  • Python development
  • Cloud infrastructure
  • AI agents and LLM frameworks
  • REST API design
  • System architecture and tradeoff analysis
  • Production operations and observability

Benefits

  • Competitive salary ($200,000–$280,000 annually)
  • Early-stage equity
  • High-ownership role with direct founder and customer interaction
  • Work on cutting-edge AI and data infrastructure
  • Full-time, on-site position 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.

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Likely interview questions

  • Can you describe a production system you owned end-to-end? What were the biggest operational challenges you faced?
  • How have you approached designing and operating high-volume data pipelines? What scale have you worked at?
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