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Clera

Founding Engineer ($3M pre-seed)

San Jose (Remote)fulltimemidAdded 1 month ago

About this role

Join Clera as engineer #4 to build AI-powered recruiting automation that's disrupting a $600B industry. With $3M in pre-seed funding and paying customers already using the platform, you'll have massive ownership over product areas and ship features daily alongside the founding team in a San Francisco hackerhouse.

What you'll do

  • Own and ship entire product features from conception to production deployment
  • Build and optimize AI agent systems for automating recruitment workflows
  • Work directly with CTO and founding engineers on core platform architecture
  • Engage with customers to iterate on product based on feedback
  • Balance rapid prototyping with scaling code for quality and performance
  • Contribute to technical decisions that shape product direction

What they're looking for

  • TypeScript and React
  • Experience coding with AI tools (Cursor preferred)
  • LLM API integration and practical AI development
  • Full-stack development capability
  • Startup mentality with high agency and resourcefulness
  • Strong software engineering fundamentals
  • Customer-focused product thinking
  • Ability to write fast, iterate quickly, and refactor for scale

Benefits

  • Meaningful equity stake in early-stage startup
  • Direct impact on product direction and company trajectory
  • Live and work in SF hackerhouse with A-player team
  • Visa sponsorship support available
  • Ship to production daily with zero micromanagement
  • Competitive salary with significant equity package
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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

  • Walk us through a project where you built an AI-powered feature using LLM APIs. What was challenging, and how did you approach it?
  • Tell us about your experience with Cursor or AI-assisted coding. How has it changed the way you write code, and what are the trade-offs you've learned?
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