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Founding Engineer

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Valerie Health
Full Time position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    AI Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

About the Company

Valerie Health is the AI front office for independent provider groups. We are reimagining how independent practices operate by using AI to modernize patient/provider communication, enhance care, and drive industry-changing operational efficiencies.

Why join us now?

  • Team: We are led by Pete Shalek (2x health tech exits, including a $600M acquisition by Optum) and Nitin Joshi (scaled Uber Eats + Health, Stripe Connect, and Bridge–acquired by Stripe for $1.1B). Beyond our Founders, our team brings decades of experience from Stripe, Uber, and Snowflake, combining deep expertise in ML systems, large-scale infrastructure, and product design.

  • Trajectory: We partner with leading independent specialty groups across the US, automating hundreds of thousands of tasks each month and growing 50%+ month over month with 300% net revenue retention.

  • Funding: We have raised $39m from world-class investors including Redpoint Ventures, General Catalyst, Primary Ventures, and Box Group.

Our technical stack combines:

  • Vision models to interpret unstructured healthcare data and build a deep clinical ontology

  • Language and speech models for automated, empathetic text and voice communication with patients

  • LLM-based workflows that integrate directly with EMRs

  • RPA and desktop automation to bridge fragmented and legacy systems

About the role

As a founding engineer, you will get a front seat into building a world-class startup. You will help shape the technical foundation of Valerie Health, and drive both our product and business from inception to scale. You will play a lead role in designing and implementing a robust backend infrastructure, building AI models across various modalities and use-cases (OCR, Voice, LLM, RPA) with RLHF, and creating delightful user experiences.

What

you’ll do
  • Collaborate closely with the rest of the team to shape product, business, and company direction. Help define and shape the culture of the company.

  • Build a production-ready AI infrastructure, integrating and fine-tuning models across voice, text, and desktop agents. Build a reinforcement learning system with internal and external humans in the loop.

  • Own end to end product surface areas that serve external and internal users. Build deeply empathetic and polished user experiences that raise the bar across the industry.

  • Design, build and scale a HIPAA-compliant backend infrastructure that’s highly secure with strong availability and performance.

About you
  • Experience:

    • 1 - 10+ years of experience in software engineering, with a strong background in computer science.
    • Previous experience in big tech or startups is a plus.
    • Demonstrated experience in building end-to-end products.
  • Attributes:

    • User-Focus:
      Deep empathy for users, with the ability to translate their needs into product features and prioritize effectively.
    • Work as Craft:
      Interest in producing elegant, polished, and high-performance work, finding pride and joy in the details.
    • Growth Mindset:
      Eagerness to learn new approaches, seek feedback, and continually improve skill sets.
    • Strong Communicator:
      Clear and succinct in both written and verbal communication, capable of adjusting style for different audiences and conveying technical topics to non-technical stakeholders.
    • Self-Starter & Adaptable:
      Proactively own projects from inception to completion, identify challenges, and offer solutions, thriving in a dynamic work environment.
Details
  • Competitive salary, equity and benefits including medical, dental, vision, 401(k) and PTO
  • Must be able to work at least three days a week in our San Francisco office.
  • Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.
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