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Clera

Founding Full Stack Engineer

San Francisco$180k–$230kfulltimemidAdded 1 month ago

About this role

Join an AI-powered sales automation startup as its first Founding Engineer, working alongside the CTO to build self-improving conversational agents that conduct product demos 24/7. You'll own full-stack development across LLM orchestration, embeddable UI, customer platforms, and infrastructure while helping establish the technical foundation for rapid growth.

What you'll do

  • Design and build LLM-based conversational agents with orchestration, tool use, and conversation flow management
  • Develop embeddable, responsive frontend widgets in React that adapt in real-time to user interactions
  • Build backend services and APIs in Python for agent configuration, conversation management, and performance analytics
  • Create evaluation pipelines and automated tests to measure agent quality and enable self-improvement
  • Design deployment and versioning infrastructure supporting feature flags, preview environments, and safe rollouts
  • Debug production issues, trace quality regressions, and implement observability and CI/CD workflows

What they're looking for

  • LLM orchestration and prompt engineering
  • Python backend development and cloud deployment (AWS/GCP, Docker)
  • React and interactive UI development
  • Voice integration (STT/TTS) or browser automation
  • Evaluation pipelines and CI/CD workflows
  • Full-stack end-to-end feature delivery
  • Agent deployment and versioning systems
  • Product thinking and rapid prototyping

Benefits

  • Salary: $180,000–$230,000 USD annually
  • Early-stage equity as a founding engineer
  • Fully on-site in San Francisco, five days per week
  • Work with high-caliber early-stage team alongside CTO
  • Opportunity to shape technical culture from the ground up
  • Exposure to rapidly growing B2B SaaS with 3x month-over-month growth
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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 production LLM agent you've built—how did you handle orchestration, tool use, and conversation flow when the agent encountered unexpected user inputs?
  • Describe a time you debugged a quality regression in an LLM-based system. How did you trace the root cause and prevent it from happening again?
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