---
title: 'Software Engineer, Applied AI at AKASA'
canonical: 'https://feeny.ai/job/software-engineer-applied-ai-akasa-san-francisco-5q31ckbkkd68'
type: 'job'
last_seen: '2026-10-18'
---

# Software Engineer, Applied AI at AKASA

- **Company:** AKASA
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-09-24
- **Last confirmed live:** 2026-10-18
- **Apply:** https://jobs.ashbyhq.com/akasa/73310b0b-a62f-416d-ab3e-c632926389d5

## Job description

## About AKASA

AKASA is building the future of healthcare by developing AI-native solutions for some of healthcare’s most complex, consequential work. Our customers include the most innovative health systems in the country, like Cleveland Clinic, Mayo Clinic, NewYork-Presbyterian, Duke, Stanford, and Johns Hopkins. Our customer base represents 1 in 10 inpatient discharges across the United States and more than $180B+ in net patient revenue.

Our products help health systems comprehensively capture and communicate the full patient clinical journey. By empowering health systems to streamline their operations, they can focus on what matters most - delivering quality patient care.

We train internal models and build domain-specific harnesses to power our products and best capture clinical nuance for each customer. We hire people with high agency and good judgment. Everyone here is an owner and builder who is looking to help solve high stakes challenges every day.

We have raised over $250M in funding from investors such as Andreessen Horowitz, BOND, and Coatue. Our deployments have been recognized nationally as "one of the most comprehensive real-world uses of GenAI in healthcare finance to date" ([link](https://hitconsultant.net/2025/10/13/cleveland-clinic-deploys-genai-for-coding-and-cdi-across-enterprise-powered-by-akasa/)).

Some of our recent recognitions include being named one of America's Top Startup Employers 2026 by Forbes, a Top Healthcare Technology Company of 2026 by Healthcare Technology Report, the #1 most promising healthcare RCM startup of 2025 by Black Book Market Research, and we have been certified as a “Great Place to Work” for the past 6 years in a row.

## About the Role

As an Applied AI Engineer, you will be building AI-powered solutions across our Clinical Documentation and Medical Coding suite. You will work closely with the product, design, and machine learning teams to design and build the services, APIs, and tools that undergird our SaaS products.

Together with the broader team, you will work on AI-native products that correct clinical errors for hundreds of thousands of patients, and deliver hundreds of millions of dollars in measurable value for our customers.

These products improve the quality of physician documentation, help clinicians identify missing diagnoses, convert documentation to medical codes and ensure financial integrity for health systems. The interfaces you develop help thousands of clinicians and hospital staff tackle some of the most challenging and high-impact patient encounters in U.S. healthcare.

## What You'll Do

- Build features and products driven by LLMs. You will touch the whole stack, from designing agentic systems for revenue cycle workflows to the infrastructure that runs them in production across hundreds of hospitals.
- Work alongside strong subject matter experts on complex, challenging problems that span from high-stakes clinical diagnoses to regulated medical billing with no easy answers.
- Deploy the evaluation frameworks and experimentation loops that deliver reliable, production-grade systems. You'll use data-driven and statistical approaches to balance across medical coding guidelines, user feedback, and auditability.
- Partner directly with product, clinical, and revenue cycle experts to push the frontier of what AI can do inside the healthcare revenue cycle.

## What We're Looking For

- Bachelor of Science in Computer Science/Software Engineering or related field
- 3+ years in a technical role with a strong foundation in AI and data analysis or backend systems
- 1+ years shipping production AI systems to end users
- Experience designing offline/online evaluations and landing agentic systems
- Proficiency in Python
- Thrives in a startup environment working on challenging problems
- Healthcare technology experience (EDI,HL7,FHIR) is a plus

## What We Offer

- Flexible paid time off (PTO)
- Expansive coverage for health, dental, and vision
- Employer contribution to Health Savings Accounts (HSA)
- Generous parental leave policy
- Full employee coverage for life insurance
- Home office stipend
- Cell phone/internet reimbursement
- Company-paid holidays
- 401(K) plan

## Compensation

- Based on market data and other factors, the salary range for this position is $180,000-$250,000 + Equity. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

We’re committed to doing the best work of our lives, together. Come see if we're the right team for you.

AKASA is a proud equal opportunity employer and we believe that a diverse and inclusive workforce is an imperative. We welcome people of different backgrounds, genders, races, ethnicities, abilities, sexual orientations, and perspectives, just to name a few. We do not discriminate based upon any protected class and we encourage candidates of all identities and backgrounds to apply. AKASA considers qualified applicants regardless of criminal histories in accordance with the [San Francisco Fair Chance Ordinance.](http://sfgsa.org/modules/showdocument.aspx?documentid=11600)

AKASA is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at recruiting@akasa.com.

## About AKASA

## Company Overview
- **One-liner**: AKASA provides generative AI solutions to automate and optimize the healthcare revenue cycle for hospitals and health systems.
- **Entity Type**: Private (Growth Stage)
- **Headquarters**: South San Francisco, California, USA
- **Founded**: 2019
- **Founders**: Four co-founders (names not publicly listed on main website; the team includes engineering, healthcare, and revenue cycle experts)

## Core Business
- **Primary Industry**: Healthcare IT / Revenue Cycle Management (RCM)
- **Target Customers**: B2B – health systems, hospitals, and outpatient facilities (650+ hospitals and 6,500+ outpatient facilities across all 50 states; clients include Stanford, Johns Hopkins, and Cleveland Clinic)
- **Mission Statement**: To build the future of healthcare with AI, specifically by using generative AI to solve the most pressing financial pain points in the revenue cycle, enabling health systems to focus on patient care.

## Products & Services
- **AI Advisor**: A GenAI-powered research assistant that helps revenue cycle teams find answers, documents, and context faster.
- **Claim Status**: Automatically checks the up-to-date status of claims, reducing manual follow-ups.
- **Auth Status**: Automates checking authorization status, reducing manual effort.
- **Prebill Optimization Suite**: Uses GenAI to surface missed coding opportunities, uncover quality and compliance risks, and boost revenue integrity.
- **Coding Optimizer**: Unifies coding and CDI (Clinical Documentation Improvement) to close documentation gaps and ensure accuracy.
- **CDI Optimizer**: Helps uncover documentation gaps and enables accurate patient documentation with a GenAI assistant.

## Market Standing
- **Valuation**: Not publicly disclosed.
- **Key Metric**: Total client net patient revenue represents $120B+; client base includes 650+ hospitals and 6,500+ outpatient facilities.
- **Notable Investors/Partners**: Not explicitly listed on main site, but clients include Stanford, Johns Hopkins, and Cleveland Clinic.
- **Growth Signals**:
  - Bookings for GenAI product suite increased 10x in the last year.
  - Closed the biggest deal in company history.
  - Named one of the fastest-growing GenAI startups to watch by AIM Research.
  - Named "AI Revenue Cycle Leader" by Black Book in 17 out of 18 categories.
  - CEO ranked among "Top 50 Healthcare Technology CEOs" by the Healthcare Technology Report.
  - Certified as a "Great Place to Work" for five consecutive years.

## Competitive Advantages
- **Proprietary GenAI**: One of the first companies to deploy generative AI for practical, high-impact use cases in healthcare revenue cycle, trained on both clinical and financial data.
- **Deep RCM Expertise**: Combines top Silicon Valley engineering talent with deep healthcare revenue cycle domain knowledge.
- **Scale & Trust**: Serves major health systems (Stanford, Johns Hopkins, Cleveland Clinic) and processes $120B+ in net patient revenue, demonstrating strong market adoption.
- **Proven ROI**: Client case studies show a 13% decrease in A/R days, $30M gross yield increase, and 300+ hours of staff time saved per month.

## Strategic Focus
- **Current Priority**: Scaling the GenAI product suite across the entire revenue cycle, from pre-bill optimization to claims and authorization status, while expanding client base and deepening integrations with health systems.
- **Direction**: Continue to lead the market in applying generative AI to healthcare administrative workflows, reducing cost-to-collect and improving margins for health systems.

## Why Work Here
- **Culture**: Described as a "remote-friendly, hybrid organization" with team members across 29 states. Hubs in Bay Area, NYC, and Denver. Embraces a "work-from-anywhere attitude."
- **Values**: "Innovate for Impact," "Win or Learn, Quickly," and "In This Together." Strong emphasis on diversity, equity, and inclusion ("AKASA welcomes everyone").
- **Benefits**:
  - Unlimited paid time off (PTO)
  - Robust healthcare plans including 100% free options
  - Employer contribution to healthcare spending accounts
  - Mental health support through Spring Health
  - Free One Medical membership
  - Generous parental leave policy
  - Company-sponsored 401k plan
  - In-person company-wide get-togethers
- **Engineering Culture**: "Tech talent meets healthcare expertise" – a unique blend of Silicon Valley engineers and healthcare veterans. Recent job postings include Senior Machine Learning Researcher, Senior Machine Learning Engineer, Senior Software Engineer (DevOps), and Business Intelligence Engineer, indicating a strong technical focus.
- **Team Size**: ~100 total employees (as per Built In profile).

## Sources
1. [akasa.com](https://akasa.com/)
2. [akasa.com/about-us](https://akasa.com/about-us/)
3. [akasa.com/careers](https://akasa.com/careers/)
4. [builtin.com](https://builtin.com/company/akasa?ni=6)

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