---
title: 'Senior Applied AI Engineer at Roger Healthcare'
canonical: 'https://feeny.ai/job/senior-applied-ai-engineer-roger-healthcare-san-francisco-aktm86rg319y'
type: 'job'
last_seen: '2026-09-06'
---

# Senior Applied AI Engineer at Roger Healthcare

- **Company:** Roger Healthcare
- **Location:** San Francisco, CA
- **Compensation:** $200k–$250k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-07-09
- **Last confirmed live:** 2026-09-06
- **Apply:** https://jobs.ashbyhq.com/rogerhealthcare/569101f6-cd9d-4c5f-b09b-8028c8b1fd3d

## Job description

## ABOUT THE ROLE

Roger is an AI platform that frees home health clinicians from paperwork so they can focus on what matters: delivering life-changing care to our most vulnerable elderly patients in the comfort of their homes. Backed by leading healthcare investors like SignalFire, we've powered millions of visits, deployed to thousands of clinicians, and we're just getting started.

The administrative work behind home health is messy, unstructured, and high-stakes. From clinical documentation to the operational busywork that organizations serving these vulnerable populations face every day, turning dense, nuanced information into accurate records requires LLM systems that extract structure from unstructured data, validate their own outputs, learn from a vast and growing dataset, and continuously improve in accuracy.

We are now looking for a Senior Applied AI Engineer to build the intelligence layer at the core of Roger: training and fine-tuning models on our data, building the eval and monitoring infrastructure that keeps them accurate, and shipping LLM-powered workflows that clinicians rely on every day. There is a wide gap between a demo of an AI product and one that actually works for real clinicians caring for real patients, and we are hiring engineers who build on the right side of that gap.

## WHAT YOU'LL DO

- Train and fine-tune open source models, leveraging our vast proprietary dataset to push accuracy beyond what off-the-shelf models can do.
- Build eval datasets and pipelines that let us measure model accuracy rigorously and improve it continuously.
- Design how we measure accuracy in the first place: the metrics, harnesses, and feedback loops that turn real clinical outcomes into measurable model improvements.
- Build scalable, cost-efficient inference infrastructure with great monitoring and observability.
- Build better agentic infrastructure and partner on the interfaces that turn model capability into a great clinician experience.
- Stay at the frontier: keep up with the latest research, frontier model capabilities, and open source frameworks, and bring the best of it into production.
- Prototype quickly, then harden into scalable, secure, and reliable production systems.

YOU MIGHT BE A GOOD FIT IF YOU HAVE

- 7+ years of professional software engineering experience, with meaningful depth in AI/ML.
- Experience training, fine-tuning, or evaluating LLMs and open source models, with real opinions about what works and what does not.
- Shipped real AI software to real users. You can describe something you built, what broke, and how you fixed it.
- Strong instincts for evals, observability, and the feedback loops that turn user feedback into measurable improvement.
- Experience building agentic systems: tool use, generator and critic loops, planners and executors, and orchestration where one agent's output drives another's work.
- Comfort building infrastructure that is fast, reliable, and cost-efficient at scale.
- Startup experience shipping real features in high-growth environments.
- A product mindset, comfort across the stack, and the ability to operate in ambiguity without a clean spec.
- High standards for reliability and accuracy when real clinicians and patients depend on your work.

Why Join Us?

🏥 Platinum health, dental, and vision insurance

🏖️ Unlimited PTO

💰 Retirement: 401(k) plan

🤖 Be at the forefront of LLM innovation in healthcare

🚀 Founded by AI Researchers from Cornell and Amazon Alexa

👩‍⚕️ Make a tangible difference in the lives of clinicians and patients

🧠 Work on a mission that matters, backed by AI innovation and top-tier investors

Make a Real Difference: Hear from our Users

👨‍⚕️ “If I had to give Roger a rating out of 10, I’d give it an 11! You guys changed my life!!”

- G.M. from San Francisco, Registered Nurse

👩‍⚕️ “Roger AI saves me hours per day. I can easily focus on my patients now too.”

- J.L. from Tucson, Registered Nurse

👩‍⚕️ “Being a single mom is tough, but with Roger I can take the time to go to my daughter’s soccer game and also pursue further education.”

- T.M. from Dallas, Licensed Vocational Nurse

If you're interested in joining a fast-growing healthcare AI startup, we'd love to hear from you TODAY!

In person and remote opportunities available.

## About Roger Healthcare

## Company Overview
- **One-liner**: Roger Healthcare provides an AI-powered clinical documentation platform for home health agencies, automating OASIS and routine visit notes to save clinicians time and reduce burnout.
- **Entity Type**: Private (Seed stage)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2023
- **Founders**: Yusef Iskandar (CEO), Keyur Shah (CTO), Yunus Ansari (COO)

## Core Business
- **Primary Industry**: Healthcare IT / AI-Powered Clinical Documentation
- **Target Customers**: Home health agencies (B2B) serving clinicians, nurses, and administrative staff.
- **Mission Statement**: To revolutionize home health documentation through innovative AI-powered solutions, empowering clinicians to focus on patient care rather than paperwork.

## Products & Services
- **Roger Docs**: An AI-powered, voice-enabled clinical documentation platform. It listens to natural patient-clinician conversations, autofills OASIS and routine visit notes, and syncs near-real-time with existing EHR systems. The platform also provides real-time feedback to ensure documentation completeness before the clinician leaves the patient’s home.

## Market Standing
- **Valuation**: Not publicly available (conflicting reports; PitchBook lists it as "Generating Revenue" but does not disclose valuation).
- **Key Metric (Funding)**: $5.4M in total funding (Seed round, closed January 2025).
- **Lead Investor**: 1 investor (undisclosed) in the Seed round.
- **Notable Advisors**: Philip Chuang (former VP at Kaiser Permanente and Sutter Care’s home health/hospice segments), George Sauter (former Chief Strategy Officer at John Muir Health).
- **Growth Signals**: Serves 300+ home health agencies; reports an 80% time savings on documentation for clinicians; clients like New Day Healthcare cut documentation time by 75%. Headcount grew 20% YoY to 12 employees (early 2026). Website traffic grew 72.8% month-over-month.

## Competitive Advantages
- **Deep AI Specialization**: Founders come from AI research backgrounds at Cornell and Amazon Alexa, giving them a strong technical moat in ambient listening and NLP for clinical contexts.
- **EHR Integration**: Platform syncs with existing EHRs in near-real-time, eliminating manual data entry and double charting.
- **Real-Time QA Feedback**: The system prompts clinicians to complete missing documentation while still in the home, improving compliance and reducing rework.
- **Industry-Specific Focus**: Solely focused on home health (OASIS documentation), a highly regulated and underserved niche, unlike broader medical scribe solutions.

## Strategic Focus
- **Scale Agency Adoption**: Expanding beyond 300+ agencies to capture a larger share of the home health market.
- **Product Enhancement**: Continuing to refine AI accuracy and expand documentation coverage for all OASIS and routine visit types.
- **Talent Acquisition**: Hiring across engineering, sales, and customer success to support rapid growth, with a focus on building out a lean, high-impact team.

## Why Work Here
- **Mission-Driven Culture**: The company is focused on solving clinician burnout and improving patient care, which is a strong motivator for many in healthcare tech.
- **Early-Stage Impact**: As a small team (~12 people), employees have high ownership, cross-functional exposure, and the ability to directly shape the product and company.
- **Engineering Excellence**: Founded by AI researchers from Cornell and Amazon Alexa; the tech stack includes React Native, Python, MongoDB, and Docker. The team values rapid iteration and "maximum impact with minimum complexity."
- **Work Policy**: Based in San Francisco (HQ) with an office in Berkeley; the company is likely hybrid/office-first given the early-stage, collaborative nature of the work.
- **Core Values**: "Move the Needle," "Take Ownership," and "Customer Obsession" – reflecting a fast-paced, accountable, and user-focused environment.

## Sources
1. [rogerhealthcare.com](https://www.rogerhealthcare.com/)
2. [rogerhealthcare.com/about-us](https://www.rogerhealthcare.com/about-us)
3. [linkedin.com/company/rogerhealthcare](https://www.linkedin.com/company/rogerhealthcare)
4. [pitchbook.com](https://pitchbook.com/profiles/company/537187-15)

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