Software Engineer, Applied AI
- Pay
- $180,000 – $250,000 per year
- Location
- San Francisco, CA (Remote)
- Job type
- Full-time
- Level
- Senior
- Experience
- 3+ years
- Education
- Bachelor's degree
- Listed
- 23 days ago
Skills & highlights for this role
- Python
- AI model evaluation
- backend systems
Also useful
- EDI
- HL7
- FHIR
Stated benefits & perks
- Health
- Dental
- Vision
- 401k
- Parental leave
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.
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.
Equal opportunity and legal notices
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.
From AKASA's careers page, first listed on Rolev.ai on October 17, 2026. Rolev.ai is not the employer.
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Common questions
What is the salary for the Software Engineer, Applied AI role at AKASA?
The Software Engineer, Applied AI posting at AKASA states compensation of $180,000 – $250,000 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on AKASA's official career site.
Where is the Software Engineer, Applied AI job at AKASA located?
Yes, this Software Engineer, Applied AI opening at AKASA is listed as San Francisco, CA (Remote). Always check AKASA's application page for specific state eligibility or relocation policies.
What qualifications are required for Software Engineer, Applied AI at AKASA?
For the Software Engineer, Applied AI role, AKASA highlights 3+ years of relevant experience; a bachelor's degree; experience with Python, AI model evaluation, backend systems. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Software Engineer, Applied AI position at AKASA?
This listing links directly to AKASA's Ashby application page. You can apply directly on AKASA's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Ashby application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.