Sr. Software Engineer, Frontend

About AKASA

At AKASA, our mission is to build the future of healthcare with AI. As the leading provider of generative AI solutions for the healthcare revenue cycle, we 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 have raised over $205M in funding from investors such as Andreessen Horowitz, BOND, and Costanoa Ventures.

This is the most exciting time to join AKASA. Revenue bookings for our new AI-native product suite have grown over 20x since launching in 2024. In this time, we have broken our record for the largest deal in company history three times consecutively. This growth is driven by the massive improvement we are generating for our customers across clinical quality and documentation accuracy, both top priority areas for health system leaders.

Our deployments have been recognized nationally as "one of the most comprehensive real-world uses of GenAI in healthcare finance to date" (link). Our customer base represents more than $120B+ in net patient revenue and includes the most innovative health systems in the country, like Cleveland Clinic, Duke, Stanford, and Johns Hopkins.

Some of our most recent recognitions include being named the #1 most promising healthcare RCM startup of 2025 by Black Book Market Research and one of the fastest-growing GenAI startups to watch by AIM Research. 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.

We’re building on this momentum to redefine what’s possible in healthcare. We’re looking for exceptional people to help us accelerate that reality.

As a Sr. Software Engineer, Frontend, you will help build, implement, and maintain user interfaces for our AI products. You will work closely with cross-functional groups across engineering, machine learning, product, and design teams. Our ideal candidate has existing experience building for less technical users and is excited to innovate for impact in healthcare.

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.

• Build and land cutting‑edge and novel experiences at large healthcare organizations
• Incorporate feedback from internal and external users to iteratively build and implement features that truly solve problems for our customers
• Partner with backend engineers to help define APIs and data flows for a seamless frontend experience
• Partner closely with our product, design, and machine learning teams
• Mentor junior engineers on the team
• Explore and evaluate new technologies in healthcare

• Bachelor’s degree in Computer Science/Software Engineering or related field.
• 5+ years of experience in front‑end programming
• Experience with React
  
  JS is required
• Type Script or Java script with another strongly typed language
• Strong visual design sense and an ability to empathize with users
• Nice to have: any backend experience with Python

• Unlimited paid time off (PTO)
• Expansive coverage for health, dental, and vision
• Employer contribution to Health Savings Accounts (HSA)
• Generous parent leave policy
• Full employee coverage for life insurance
• Company‑paid holidays
• 401(K) plan

• Based on market data and other factors, the salary range for this position is $175,000-$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…