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Salary
$180k – $230k per year
Location
Hybrid (New York, San Francisco, United States)
Seniority
Senior · 5+ years exp
Visa
H-1B filings in 12 months: 1 · for this role: 1
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Nov 23, 2025.

Overview
Company
Impact
Profile match
Akasa is a healthcare technology company that applies generative AI to the hospital revenue cycle. Its products support prior authorization, clinical documentation integrity, medical coding and claims management, helping health systems cut manual work, reduce denials and get paid faster. The company is headquartered in South San Francisco, California, United States.

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 Role

As a Sr. Software Engineer, Backend, 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 services, APIs, and tools that support 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 and land cutting-edge and novel experiences at large healthcare organizations

  • Create and maintain backend services and build on top of machine learning to solve challenging customer problems

  • Design, build, and maintain shared APIs, tools, services, and applications that help form the foundation of our technology ecosystem

  • Bring creative solutions to the table, knowledge-share with the team, and work together to shape our platform architecture

  • Lead and participate in design discussions, planning sessions, and code reviews

  • Partner closely with our product, design, and machine learning teams

  • Mentor junior engineers on the team

Skills & Qualifications

  • Bachelor of Science in Computer Science/Software Engineering or related field

  • 5+ years of professional experience in software development or machine learning

  • Software engineering experience in Python is required

  • Proven track record with SaaS products

  • Strong communication and interpersonal skills with meticulous attention to detail

  • Experience building consumer applications on top of ML pipelines

  • Familiarity with FastAPI, SQLAlchemy, Postgres

  • Proficiency in Docker, Kubernetes, AWS

  • CI/CD experience with GitHub Actions

  • Firm grasp of system design principles

  • Experience with healthcare data exchange (FHIR, HL7, EDI) 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-$230,000 + 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.

The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we'll consider your location, experience, and other job-related factors.

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].

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