A

AKASA

Healthcare RCM automation using AI

Applied AI Engineer

Full-TimePosted on 9/24/2026
$180k - $250k/yr+ Equity
Mid
Bachelor's
San Francisco, CA, USA+2 moreMore locations: South San Francisco, CA, USA | New York, NY, USA
HybridHybrid work is required; specific office-day frequency is not stated.

About the job

Requirements
  • Bachelor of Science in Computer Science, Software Engineering, or a related field.
  • At least 3 years in a technical role with a strong foundation in artificial intelligence and data analysis or backend systems.
  • At least 1 year of experience shipping production artificial intelligence systems to end users.
  • Experience designing offline and online evaluations and deploying agentic systems.
  • Proficiency in Python.
  • Ability to work effectively in a startup environment on challenging problems.
Responsibilities
  • Build features and products driven by large language models across the full stack, from designing agentic systems for revenue cycle workflows to the infrastructure that runs them in production across hundreds of hospitals.
  • Deploy evaluation frameworks and experimentation loops that deliver reliable, production-grade systems, using data-driven and statistical approaches to balance medical coding guidelines, user feedback, and auditability.
  • Partner with product, clinical, and revenue cycle experts to advance artificial intelligence capabilities within the healthcare revenue cycle.
Desired Qualifications
  • Healthcare technology experience, including Electronic Data Interchange, Health Level Seven International, or Fast Healthcare Interoperability Resources.

About the company

AKASA uses computer vision-based RPA, machine learning, and human-in-the-loop workflows to automate Revenue Cycle Management in healthcare. The platform analyzes clinical and administrative documents, extracts data, applies ML decisions, and uses robotic automation to complete tasks within healthcare IT systems, with humans reviewing uncertain outcomes to ensure accuracy. This end-to-end solution aims to reduce errors, increase transparency, and scale RCM, delivering measurable financial gains for providers. By specializing in healthcare, AKASA differentiates itself from generic automation tools and has demonstrated impact, such as a $30M gross yield increase at Methodist Health System.

Company Size

201-500

Company Stage

Series C

Total Funding

$205M

Headquarters

South San Francisco, California

Founded

2018

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Simplify Jobs

Simplify's Take

What believers are saying

  • AKASA launched CDI Optimizer in May 2025, expanding beyond coding and prior authorization.
  • AKASA’s 2026 hiring push signals continued product and go-to-market investment.
  • Cleveland Clinic’s 2025 collaboration and 2026 deepening create marquee reference momentum.

What critics are saying

  • Healthcare buyers demand perfect accuracy; one Cleveland Clinic coding error freezes expansion.
  • Epic, Optum, and R1 can bundle revenue-cycle AI into existing contracts.
  • AKASA still depends on a narrow health-system market and slow enterprise sales cycles.

What makes AKASA unique

  • AKASA’s institution-tuned LLMs handle each health system’s documents and billing rules.
  • Cleveland Clinic deepened its 2026 partnership, validating AKASA in top-tier U.S. hospitals.
  • CDI Optimizer reviews 100% of inpatient encounters, not sampled charts.

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Benefits

Flexible vacation policy.

Generous coverage for health, dental, and vision insurance.

Free membership to One Medical for you and your family.

Health FSA account.

Full employee coverage for life insurance.

401K plan.

Growth & Insights and Company News

Headcount

6 month growth

↓ -2%

1 year growth

↓ -1%

2 year growth

↓ -2%
HIT Consultant
May 5th, 2025
Akasa Launches Genai-Powered Cdi Optimizer To Enhance Clinical Documentation Integrity

AKASA Launches GenAI-Powered CDI Optimizer to Enhance Clinical Documentation Integrity. by Jasmine Pennic 05/05/2025 Leave a Comment. What You Should Know: – AKASA, the preeminent provider of generative AI (GenAI) solutions for the healthcare revenue cycle, today announced the launch of AKASA CDI Optimizer™. – The new GenAI assistant is designed to help healthcare organizations significantly enhance clinical documentation integrity (CDI), improve compliance, and ensure the full clinical picture is captured for every patient encounter.Addressing Mid-Cycle Revenue Cycle ChallengesThe launch of CDI Optimizer comes as healthcare provider organizations face mounting pressures within their mid-cycle operations – the crucial steps encompassing clinical documentation, coding, and compliance. Factors like rising denial rates, constantly evolving regulatory requirements, and persistent staffing shortages challenge traditional CDI processes. AKASA notes that many health systems still depend on manual chart reviews or older, rules-based systems, which can often miss crucial revenue opportunities and fail to capture necessary quality and compliance metrics.Leveraging Generative AI for Deeper InsightsCDI Optimizer utilizes clinically trained large language models (LLMs) – a form of generative AI – to automatically review 100% of inpatient encounters across all service lines. This AI-driven approach allows the tool to identify documentation gaps and surface high-impact query opportunities that might be missed by other methods.“CDI Optimizer is more than a new product — it’s a strategic leap forward for the mid-cycle,” said Malinka Walaliyadde, CEO and co-founder of AKASA

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Apr 29th, 2025
Cleveland Clinic Taps Akasa To Launch Ai Tools For The Revenue Cycle

What You Should Know:– Cleveland Clinic and AKASA have established a strategic collaboration to deploy generative AI tools to support efficient and accurate medical coding practices.– Through this partnership, Cleveland Clinic will apply multiple AKASA AI-powered tools during the mid-revenue cycle – the phase between patient care and billing, where documentation and coding occur – across its U.S. locations.Cleveland Clinic Advances Revenue Cycle Operations with AI-Powered Coding and Documentation ToolsCleveland Clinic, a nonprofit multispecialty academic medical center based in Cleveland, Ohio, continues to drive healthcare innovation by integrating clinical care, research, and education. Founded in 1921 by four physicians dedicated to cooperation, compassion, and innovation, the institution remains a leader in delivering outstanding patient care.Reflecting the complexity of patient care through accurate documentation and coding has long been a time-intensive task. Revenue cycle staff at Cleveland Clinic typically review over 100 clinical documents per case—including progress notes, discharge summaries, and pathology reports—and select from more than 140,000 coding options. This manual process can take up to an hour per patient encounter.To enhance efficiency and accuracy, Cleveland Clinic has begun implementing new AI tools:AI coding assistant : Capable of reading clinical documents in less than two seconds and processing over 100 documents in 1.5 minutes, this tool supports comprehensive and efficient coding by understanding clinical context beyond keyword matching and adapting to patient complexity.: Capable of reading clinical documents in less than two seconds and processing over 100 documents in 1.5 minutes, this tool supports comprehensive and efficient coding by understanding clinical context beyond keyword matching and adapting to patient complexity. Clinical Documentation Integrity (CDI) AI tool: Currently in pilot testing, this tool aims to further improve documentation accuracy by ensuring clinical narratives align with coding practices.Developed with AKASA’s health-system-specific approach, these AI solutions are designed to learn from real-world documentation practices and recognize institutional nuances

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