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Clera

Founding Engineer

New York (Remote)$180k–$250kfulltimemidAdded today

About this role

Join an early-stage AI startup as a founding engineer to own an entire product domain building multi-modal AI agents for sports and sales automation. You'll make product decisions directly with customers, ship features across voice/SMS/email, and help scale a company that reached seven-figure ARR in months.

What you'll do

  • Own a complete product domain from architecture to production feature delivery
  • Conduct customer discovery calls and drive independent product decisions
  • Build and optimize multi-modal agents with sub-500ms voice latency and persistent cross-channel state
  • Define architecture, quality standards, and monitoring for non-deterministic systems including evals and drift detection
  • Work full-stack across React/Next.js frontends, Node.js backends, and Python voice services

What they're looking for

  • TypeScript, Node.js, React, Next.js
  • LLM APIs and agent frameworks (Anthropic, OpenAI, Vercel AI SDK)
  • Production voice or SMS agent systems
  • Agent state management and conversation persistence
  • Prompt versioning, guardrails, and evaluation frameworks
  • Python for real-time voice pipelines
  • Customer discovery and product decision-making
  • Full-stack development and system design

Benefits

  • Equity compensation as part of founding role
  • Clear path to leadership or deep individual contributor track
  • Direct customer interaction and product ownership
  • Early-stage growth opportunity at profitable startup
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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

  • Tell us about a 0-to-1 product you shipped at a startup or in a new team—what was your technical and product ownership?
  • Describe your experience building production systems with LLM APIs; what challenges did you face with reliability and latency?
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