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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).
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 RoleAs 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 DoBuild 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.
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 [email protected].
Skills Required
- Bachelor of Science in Computer Science, Software Engineering, or a related field
- 3+ years of experience in a technical role with a strong foundation in AI and data analysis or backend systems
- 1+ year of experience shipping production AI systems to end users
- Experience designing offline and online evaluations and deploying agentic systems
- Proficiency in Python
- Ability to thrive in a startup environment and work on challenging problems
- Healthcare technology experience, including EDI, HL7, or FHIR
What the Team is Saying
AKASA Compensation & Benefits Highlights
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Affordable Benefits — Health coverage includes 100% employer-paid plan options and employer contributions to health spending accounts. Additional care access through Spring Health and a free One Medical membership further supports cost-effective utilization.
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Leave & Time Off Breadth — Time off is presented as unlimited PTO, giving employees flexibility to take leave as needed. This structure signals emphasis on work-life balance alongside core benefits.
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Parental & Family Support — Parental leave is described as generous for new parents. Family-oriented support is positioned as a core element of the total rewards offering.
AKASA Insights
What We Do
American medicine is the best in the world. But the American healthcare system is challenged by high administrative costs that burden patients, health systems, and insurance companies with unnecessary expenses. We are focused on addressing those challenges. We use GenAI to improve the most pressing financial pain points in the revenue cycle. We’re one of the first companies to deploy GenAI for practical use cases within healthcare. That gives health systems the ability to focus on what really matters: helping patients. This is one of the most exciting times to join AKASA. Bookings for our GenAI product suite have increased 10x in the last year. We also recently closed our biggest deal in company history. Our customer base represents more than $120B+ in net patient revenue and includes the most innovative health systems in the country, like Stanford, Johns Hopkins, and Cleveland Clinic. And we’re just getting started! Some of our most recent recognitions include being named one of the fastest-growing GenAI startups to watch by AIM Research and an “AI Revenue Cycle Leader” by Black Book in 17 out of 18 categories. Our CEO was ranked among the “Top 50 Healthcare Technology CEOs” by the Healthcare Technology Report, and we have been certified as a “Great Place to Work” for the past five years in a row, just to name a few.
Why Work With Us
We are hyper-focused on creating an environment where you can do the best work of your life. We live by our cultural values of "Empower Health Systems", "Innovate for Impact", "Win or Learn, Quickly", and "In This Together."
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AKASA Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
We are a remote-friendly, hybrid organization with team members across the US. We have hubs of AKASAns in the Bay Area, NYC, and Denver to name a few, and support co-working days within these areas.
