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AKASA

Software Engineer, Applied AI

  • Hybrid
  • 6+ years

Salary

$180,000 - 250,000/ year

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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 ).

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.

Responsibilities

  • 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.

Requirements

  • 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

Conditions

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 recruiting@akasa.com.

Benefits

  • 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

Where you’d work

Part of the week in the office

You can work from

  • United States

About the company

AKASA

  • Industry: HealthTech

Offices in San Francisco, United States, New York City, United States

Your chances

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Details13 facts · Role, Location, Compensation, Employment, Company
Tech stack
  • Python
  • LLMs
Type
Full-time
Equity
Equity offered
Industry
HealthTech
Specialty
Backend
Region
United States
Show 7 more factsShow less

Role

Category
Development
Specialty
Backend
Experience
6+ years
Tech stack
  • Python
  • LLMs

Location

Work model
Hybrid
Region
United States
Offices
  • San Francisco, United States
  • New York City, United States
Remote from
  • United States

Compensation

Salary
$180,000 - 250,000 / year
Pay period
Annual
Equity
Equity offered

Employment

Type
Full-time

Company

Industry
HealthTech

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