Jobs · Engineering · California

Founding Engineer .

Health Harbor · San Francisco, CA · 17 mo ago
On-siteEngineering$100k–$170k/yrFull-time

Job Summary

Health Harbor is seeking a skilled backend engineer to join our dynamic team. This position involves automating insurance billing through generative AI.

About the Role

We are a rapidly growing startup focused on simplifying healthcare by automating insurance billing. Our current priorities include building a tiered language model solution and debugging prompts to ensure accurate information retrieval.

Responsibilities

  • Build a tiered LLM based solution to handle calls and logic.
  • Debug and analyze prompts to ensure correct information retrieval.
  • Set up a test/evaluation system for LLM-based processes to track and measure progress.

Requirements

  • 3+ years of experience in backend development.
  • Experience with Google Cloud and Python.
  • Passionate about healthcare and excited to contribute to its improvement.
  • Willingness to work 70 hours per week due to the fast-paced nature of the project.

Qualifications

  • Strong problem-solving skills.
  • Experience with generative AI and natural language processing.
  • Ability to work independently and manage ambiguous problems.

Benefits

  • Competitive salary and meaningful equity.
  • ICHRA benefit allowing you to choose your preferred insurance plan.
  • Flexible PTO.

Pay

$100K - $170K

Schedule

Full-time, with 3-4 days a week in the San Francisco office.

Skills

  • Google Cloud.
  • Python.

Benefits

  • Health, Vision, Dental Insurance through ICHRA.
  • Flexible PTO.

Company Culture

We are a close-knit team passionate about making a difference in healthcare. Expect a fast-paced environment with high expectations for performance and innovation.

How to Apply

To apply, please submit your resume and cover letter detailing your experience with generative AI and your enthusiasm for contributing to our mission. Interviews will consist of a 45-minute coding and system design interview, a 30-minute behavioral interview, and a 45-minute on-site coding task.

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