● Careers / Engineering
Engineering at AKASA
We research, build, and implement solutions that improve the financial complexities of healthcare.
/01
Research
/02
Build
/03
Implement
Fig. 01 — Clinical note → model → codes
GenAI · LLM · ML
◆ Generative AI
◆ Large language models
◆ Machine learning
◆ Revenue cycle
◆ Clinical data
◆ Autonomous coding
◆ Healthcare infrastructure
01 / Impact
Have an impact
Join our team and help fix healthcare
Have you ever been surprised by a medical bill? Most Americans have.
The revenue cycle (commonly referred to as medical billing) is the invisible financial infrastructure of healthcare. It’s also incredibly complicated. At AKASA, we’re using advanced technology (including generative AI, large language models, and machine learning) to help fix that.
We’re one of the first companies to deploy GenAI for practical use cases within the industry. Leading health systems across the country use our solutions every day and see incredible results.
And this is just the beginning.
02 / Team
Our Team
/01
Machine learning
Productizing R&D to learn complex tasks from human experts.
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Core platform
Building a GenAI-powered platform trained on health system data.
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Product engineering
Delivering full-service, innovative solutions for our clients.
03 / Culture
Building bonds beyond code
04 / Mission
Setting new standards for healthcare technology
Our offerings are built on the AKASA Platform, which integrates our proprietary generative AI technology and deep revenue cycle expertise to deliver exceptional impact for hospitals, health systems, and the patients they serve. We’re the only AI company whose technology is trained on a health system’s own clinical data, enabling us to better understand an organization’s specific nuances.
Backed by
[ investors ]

// Open roles
AKASA is hiring
The engineering team embraces a work-from-anywhere attitude, where everyone is welcome.
View open jobs →
05 / Employee stories
From the team
“
I’m immensely grateful for the opportunity to work at AKASA because it’s one of the only companies where I can leverage my experience with generative AI to have a significant immediate positive impact on our healthcare system, a matter which is of utmost importance to me. Working alongside an incredibly talented and collaborative team that shares this drive with me, I come to work every day super-pumped to help reduce the administrative burden imposed on our healthcare providers.”

Yunus Saatci
Head of Science
“
Working at AKASA offers me a profound sense of purpose and fulfillment. I find immense satisfaction in knowing that our innovations directly contribute to enhancing the overall patient care experience. I’ve grown immensely as an engineer. I’m constantly presented with opportunities to expand my technical expertise and problem-solving skills. The collaborative atmosphere here at AKASA has been instrumental in my development; working with and learning from other talented and hard-working engineers offers me invaluable insights and new perspectives.”

Aalique Grahame
Software Engineer
06 / Published research
Published research

R.01 — Accepted to MLHC 2021
Pushing the Limits of Medical Codes Prediction from Clinical Notes by Machines

R.02 — Accepted to ICML2020
Payer Response Prediction from Claims Date With Deep Learning
07 / Engineering blog
Engineering blog posts
All posts →

Blog / 01
Working With FHIR: Fetching Healthcare Data, Step by Step
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Blog / 02
Four Years in Engineering at AKASA and the Work Keeps Getting More Interesting
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Blog / 03
Document Selection for Medical Procedure Authorization
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Blog / 04
Scaling to Millions of Input Tokens for Medical Coding LLMs Using Multiple Instance Learning
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Blog / 05
How the AKASA Engineering Team Created an Automation Solution for Database Migrations
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Blog / 06
How LLMs Upgraded Our Pydantic Implementation With a Shim Library
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