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Clera

Founding Engineer

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

About this role

Join a fast-growing AI startup as a Founding Engineer to own one of four core product domains—B2B product, agent quality, infrastructure, or B2C—building multi-modal AI agents across voice, SMS, and email. You'll ship end-to-end, talk directly with customers, and make independent product decisions with no PM layer.

What you'll do

  • Own a complete product domain from architecture through production deployment and maintenance
  • Participate in customer calls, gather feedback, and drive product decisions without a dedicated PM
  • Build and optimize multi-modal agents targeting sub-500ms voice latency and consistent state across channels
  • Design quality systems for AI agents including evals, prompt versioning, guardrails, 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 SDKs (Anthropic, OpenAI, Vercel AI SDK)
  • Production voice/SMS agents or long-running agent state and memory
  • Python with real-time voice pipelines (STT/TTS, low-latency audio)
  • Full-stack web development
  • Customer discovery and independent product decision-making
  • Infrastructure tooling (Redis, job queues, observability, deployment)
  • AI evaluation and guardrail frameworks

Benefits

  • Equity in a high-velocity, early-stage startup
  • Autonomous ownership of a core product domain
  • Direct customer engagement and product influence
  • Full-stack technical scope across voice, SMS, and email agents
  • Collaborative founding team environment
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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.

View all jobs at Clera

Likely interview questions

  • Tell us about a 0-to-1 product you shipped at a high-growth startup or founded—what was the biggest technical challenge and how did you solve it?
  • Walk us through your experience building or shipping with LLM APIs—how have you approached quality and reliability in production AI systems?
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