Software Engineer
Valeriehealth
| Company | Valeriehealth |
| Category | Engineering |
| Location | San Francisco |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | USD 125k–275k |
| Posted | 23 Apr 2026 |
| Last verified | 9 Aug 2026 |
| Source | Employer ATS (ashby) |
Description
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 https://www.linkedin.com/in/petershalek/ (2x health tech exits, including a $600M acquisition by Optum) and Nitin Joshi https://www.linkedin.com/in/njoshi023/ (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 Meta, combining deep expertise in ML systems, large-scale infrastructure, and product design.
- Trajectory: We partner with leading independent provider groups across the U.S., automating hundreds of thousands of tasks each month. Scaling at 7x year-over-year with 300% NRR as customers consistently expand usage.
- Funding: We have raised $39m from world-class investors including Redpoint Ventures, General Catalyst, Primary Ventures, and BoxGroup.
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.
What We Offer
- Competitive salary, equity and benefits including medical, dental, vision, 401(k) and PTO
- 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 disabil