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Clera

Founding Engineer

New York (Remote)$180k–$250kfulltimemidAdded 2 days ago

About this role

Join a fast-growing AI startup as a founding engineer owning an entire product domain—B2B product, agent quality, family graph infrastructure, or B2C consumer product. You'll ship multi-modal AI agents across voice, SMS, and email with direct customer engagement and zero PM layer between you and decisions.

What you'll do

  • Own one core product domain end-to-end, from architecture through production shipping
  • Participate in customer calls, gather feedback, and make independent product decisions
  • Build and optimize multi-modal agents targeting sub-500ms voice latency and high SMS response rates
  • Define quality standards for non-deterministic systems including evals, prompt versioning, and drift detection
  • Work full-stack across React/Next.js, Node.js, and Python voice services
  • Maintain long-running conversation state management across multiple communication channels

What they're looking for

  • Full-stack TypeScript with Node.js and React/Next.js
  • LLM APIs and agent SDKs (Anthropic, OpenAI, Vercel AI SDK, Mastra)
  • Production voice or SMS agent systems
  • Agent state management and memory architectures
  • Python with real-time voice pipelines (LiveKit, Deepgram, STT/TTS)
  • B2B2C or marketplace product architecture
  • Agent evals, guardrails, and prompt versioning
  • Infrastructure tools (Redis, BullMQ, Vercel, Render, Sentry, PostHog)

Benefits

  • Equity stake given founding-team role
  • Full-stack ownership of a product domain
  • Direct customer interaction and product decision-making authority
  • 5-day on-site work week in Chelsea, NYC
  • Early-stage startup environment with high 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.

View all jobs at Clera

Likely interview questions

  • Tell us about a 0-to-1 product you shipped at a high-growth startup—what were the biggest technical challenges?
  • Walk us through your experience building with LLM APIs in production. How did you handle reliability and latency?
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