Software Engineer, Applied AI

Akasa; New York (NY); Hybrid; USD 180,000 - 250,000; Full time

Benefits offered by this job

Flexible PTO

Robust health plans with 100% free or低

Employer contribution to HSA

Mental health support (Spring Health)

Free One Medical membership

Generous parental leave policy

401k with company match

Commuter benefits

Internet/cell reimbursement

Equipment stipend

Job summary

AKASA is building AI-driven solutions for healthcare documentation and medical coding. We seek an Applied AI Engineer to design and implement services and APIs powering our SaaS products, collaborating with product, design, and ML teams across healthcare domains.

You will build features that correct clinical errors, improve documentation quality, and deliver measurable value for hundreds of thousands of patients in a fast-paced startup environment.

Qualifications

• 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.

Responsibilities

• Build features and products driven by LLMs across the Clinical Documentation and Medical Coding suite.
• Work with product, design, and ML teams to design and build services, APIs, and tools for our SaaS products.
• Deploy evaluation frameworks and experimentation loops for reliable, production-grade systems.
• Use data-driven and statistical approaches to balance medical coding guidelines, user feedback, and auditability.
• Partner with product, clinical, and revenue cycle experts to push the frontier of what AI can do in healthcare revenue cycle.

Skills

AI and data analysis

Backend systems

Production AI systems

Offline/online evaluations

Python

Healthcare tech exposure

Education

B.S. in Computer Science or related field

Job description

We're building the future of healthcare with AI.

People Passionate About
Improving Healthcare

My journey into CDI was personal. I have two children with special healthcare needs and their conditions were under documented. No one really wanted to talk about my daughter's brain injury because it wasn't documented. I battled to get her the care and the resources that she needed. The good news is today she's getting her masters and she's going to become a teacher. Had I not battled and pushed and fought and clawed to get her those services, she might not be where she is today.

Director of CDI

Our employees rate AKASA highly

1%

say it’s a great place to work

1%

say they can take time off when
they think it’s necessary

1%

say they’re given a
lot of responsibility

Our values

AKASA core beliefs and behaviors

We weave these values into the fabric of everything we do. They help us achieve our vision and uphold our mission of transforming healthcare operations.

Empower Health Systems

We are relentlessly focused on enabling health systems to transform their operations.

Innovate for Impact

Our mission is audacious. We only succeed by finding the best solution and focusing on what matters.

Win or Learn, Quickly

To truly transform healthcare, we must act quickly and constantly evolve.

In This Together

We know great work isn't done alone. Nothing is someone else’s problem.

Supporting employees

Our benefits and perks package were designed to support our team at home, in the office, and everywhere in between. This includes:

Flexible 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

Commuter benefits with employer contribution

Internet/cell phone reimbursement

Equipment stipend to set up your workstation however you want

We know that diverse teams succeed.

We have built a community and culture in which all AKASAns, regardless of background or identity, can bring their authentic selves to work. We believe this culture of belonging is critical in order for our team members to do the best work of their lives.
If you're from a non-traditional background or underrepresented group, please apply to one of our open roles. Not sure if you're 100% qualified? Apply anyway. Your skills may be exactly what we need.

Our investors

Hear it from our team

When a patient comes into the hospital, we take care of them, no matter what. But patients are getting sicker, and the medical record doesn’t always capture everything it took to care for them. That gap can cost hospitals appropriate reimbursement and understate how sick patients really were. That’s where AKASA comes in. We’re building AI that helps documentation and coding reflect the care delivered, and I bring the clinical context. Our technical team builds first-of-its-kind products for consequential problems in healthcare, and our in-house clinical experts train the models.

VP, Clinical Strategy

View our open roles

Software Engineer, Applied AI

Location

Employment Type

Full time

Location Type

Hybrid

Department

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.

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

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 [e-mail].