Jobs · Engineering · California

Member of Technical Staff

Harper · San Francisco, CA · 2 wk ago
On-siteEngineering$140k–$200k/yrFull-time

About the role

Build AI agents that run the business. Lead qualification, customer service, underwriter follow-up—working without a human in the loop.

Orchestrate the workflows. Document retrieval, carrier API calls, compliance checks, human review—coordinated across thousands of concurrent transactions.

Ship voice AI that actually works. Handle the skeptical business owner asking "wait, what does that actually cover?"—live, on the phone.

Build systems that compound. Every decision gets traced, every outcome feeds back, and the AI gets sharper with each interaction.

Responsibilities

  • Build AI agents that run the business.
  • Lead qualification, customer service, underwriter follow-up—working without a human in the loop.
  • Orchestrate the workflows. Document retrieval, carrier API calls, compliance checks, human review—coordinated across thousands of concurrent transactions.
  • Ship voice AI that actually works. Handle the skeptical business owner asking "wait, what does that actually cover?"—live, on the phone.
  • Build systems that compound. Every decision gets traced, every outcome feeds back, and the AI gets sharper with each interaction.

Requirements

  • 1–4 years building software, full-stack by instinct (frontend, backend, infrastructure).
  • Comfortable with LLM applications, agent pipelines, or AI systems in production; proficient in Python, TypeScript, or similar.
  • Write code with AI (Cursor, Claude Code, Windsurf) and run multiple sessions at once.
  • Ship fast and iterate—meaningful work in days that other places stretch into months.

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or related field.
  • Experience with large-scale software development and deployment.
  • Strong problem-solving skills and ability to work independently and collaboratively.
  • Experience with machine learning and natural language processing.

Skills

  • Full-stack development skills.
  • Experience with LLM applications, agent pipelines, or AI systems in production.
  • Proficiency in Python, TypeScript, or similar programming languages.
  • Experience with voice or real-time systems.
  • Experience with RAG or workflow automation.
  • Prior startup experience is a plus.

Benefits

  • Uber commuter benefits.
  • Breakfast, lunch, and dinner provided.
  • Snacks and coffee stocked.
  • Free gym membership.
  • Health, dental, and vision benefits.

Pay

$140,000–$200,000 base + performance bonus + equity.

Schedule

Based in San Francisco, in-office. Remote candidates willing to relocate are also considered.

Application

To apply: Send your resume and a link to something you've built.

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