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Clera

Founding Engineer

New York (Remote)$170k–$220kfulltimemidAdded today

About this role

Join an early-stage data infrastructure startup as a founding engineer building autonomous agents and distributed systems for web data extraction at scale. You'll work directly with the CTO to own full-stack product pieces serving enterprise customers, combining LLM applications, backend architecture, and user-facing tools.

What you'll do

  • Build autonomous agents for extracting information across diverse web environments
  • Design and iterate on full-stack self-serve applications for non-technical users
  • Scale backend architecture to handle thousands of requests per second and tens of millions of daily data rows
  • Contribute across infrastructure as code, ML pipelines, frontend, and product development
  • Maintain and optimize distributed systems handling high-throughput, data-intensive workloads
  • Ship products rapidly on a small early-stage team with direct CTO collaboration

What they're looking for

  • LLM applications and agentic systems (RAG, agent workflows, model evaluation, fine-tuning)
  • Distributed systems design and high-throughput data processing
  • Full-stack development (backend, frontend, infrastructure as code)
  • Web scraping, browser automation, and JavaScript deobfuscation
  • Building user-facing products focused on non-technical usability
  • Antibot systems and reverse engineering
  • Production software shipping and 0→1 startup experience
  • System scaling and reliability at enterprise scale

Benefits

  • Founding engineer ownership with meaningful product impact
  • Visa sponsorship available
  • On-site in New York City with tight-knit team
  • Rapid iteration and direct CTO collaboration
  • Full-stack autonomy across infrastructure, ML, and product
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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 LLM or agentic system you've built in production — what were the scaling challenges?
  • Describe your experience with web scraping or browser automation at scale. How did you handle anti-bot systems?
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