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Remote - United States

About AKASA

AKASA is the preeminent provider of generative AI solutions for the healthcare revenue cycle. The company has raised more than $205M in funding from investors such as Andreessen Horowitz, BOND, and Costanoa Ventures.

Named one of the fastest-growing GenAI startups to watch by AIM Research, we’re solving the biggest challenges in the financial infrastructure of healthcare. Transaction volume through the AKASA Platform has grown consistently, with a ~2.5x year-over-year increase in the last year. The AKASA customer base represents more than $90B in net patient revenue and includes the most innovative health systems in the country, like Stanford and Johns Hopkins.

Our founding team includes Silicon Valley leaders who have founded or been founding team members of multiple companies with successful exits. Our CEO was ranked among the “Top 50 Healthcare Technology CEOs” by the Healthcare Technology Report. We have been recognized as one of “America’s Best Startup Employers” by Forbes, “Most Innovative Digital Health Startups” by CB Insights, “Best Companies for Remote Workers” by Quartz, and “Best Places to Work” by Fortune, Modern Healthcare, and Built-In, along with being certified as a “Great Place to Work” for the past four years in a row.

Learn more at www.AKASA.com.

We are building the future of healthcare with AI. Everyone is welcome. As an inclusive workplace, we are committed to building an environment where our employees are comfortable bringing their authentic selves to work.

Join us!

About the Role

As a remote Front-End Engineer on the Authorization Advisor team, you will build a generative AI-powered assistant that empowers specialists to complete prior authorizations. Supporting you will be a cross-functional group including product, design, and machine learning teams.

You will integrate early, demo often, and incorporate feedback from internal and external users to iteratively build and land features so that they truly solve problems for our customers. You will be expected to come up with creative solutions and work together to shape the platform architecture. An ideal candidate is excited to innovate for impact in healthcare!

AKASA is based in South San Francisco. As a company, we embraced remote work. We consider ourselves experts in working collaboratively wherever our team members reside.

What You'll Do

Build excellent user interfaces that allow users to interact with our machine learning algorithms and complex medical data

Deliver cutting-edge frontend software that will be deployed to large healthcare organizations

Partner closely with users as well as our product and design teams to improve usability based on customer feedback

Implement new features in the frontend application as our machine learning and datasets continuously improve

Skills & Qualifications

Bachelor of Science in Computer Science/Software Engineering, or similar

2+ years front-end programming

Experience with TypeScript and/or JavaScript

High technical bar and understanding of good coding practices

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.

Estimated Salary range:

Our salary intelligence, powered by our AI algorithms, has calculated an estimated range for this position between $90,000 - $120,000 . Please note that the actual salary for this position may vary, as it is dependent on various factors including but not limited to experience, location, and market dynamics.

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