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Clera

Founding Software Engineer

New York (Remote)$150k–$200kfulltimemidAdded today

About this role

Join an early-stage insurtech AI startup as a Founding Software Engineer to build voice AI and document automation agents that streamline claims processing for insurance companies. You'll work directly with customers in a forward-deployed capacity, owning critical infrastructure and product decisions while shipping production systems at scale.

What you'll do

  • Design and build voice AI systems and document agent workflows for insurance claims automation
  • Partner directly with customers to understand workflows and deliver friction-reducing solutions
  • Ship production-grade TypeScript and Python code handling millions of claims
  • Design APIs, data models, and integrations with claims management and external systems
  • Contribute to core infrastructure decisions using AWS, Docker, and PostgreSQL
  • Help shape engineering culture, tech stack, and product roadmap as a founding team member

What they're looking for

  • TypeScript (production experience)
  • Python (production experience)
  • AWS
  • Docker
  • PostgreSQL
  • API design and implementation
  • Customer communication and forward-deployed collaboration
  • AI/LLM integration (nice to have)

Benefits

  • Salary: $150,000–$200,000 per year
  • Early-stage equity as founding team member
  • Shape engineering culture and tech stack
  • Influence product roadmap decisions
  • Direct customer impact on complex workflows
  • Fast-paced startup environment with significant autonomy
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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 API integration you've designed—what were the key data model decisions?
  • Tell us about a time you worked directly with customers or stakeholders to understand their operational needs. How did that shape your solution?
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