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Lead AI Backend Engineer - Healthcare SaaSDormont Manufacturing Company • New York, New York, United States
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Lead AI Backend Engineer - Healthcare SaaS

Dormont Manufacturing Company
  • US
    New York, New York, United States
  • US
    New York, New York, United States
Jetzt Bewerben

Über

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 recent recognitions include being named one of America’s Top Startup Employers 2026 by Forbes, #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 6 years in a row. 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. About the Role As a Sr. Software Engineer, Backend, 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 services, APIs, and tools that support 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 and land cutting-edge and novel experiences at large healthcare organizations
Create and maintain backend services and build on top of machine learning to solve challenging customer problems
Design, build, and maintain shared APIs, tools, services, and applications that help form the foundation of our technology ecosystem
Bring creative solutions to the table, knowledge-share with the team, and work together to shape our platform architecture
Lead and participate in design discussions, planning sessions, and code reviews
Partner closely with our product, design, and machine learning teams
Mentor junior engineers on the team
Skills & Qualifications Bachelor of Science in Computer Science/Software Engineering or related field
5+ years of professional experience in software development or machine learning
Software engineering experience in Python is required
Proven track record with SaaS products
Strong communication and interpersonal skills with meticulous attention to detail
Experience building consumer applications on top of ML pipelines
Familiarity with FastAPI, SQLAlchemy, Postgres
Proficiency in Docker, Kubernetes, AWS
CI/CD experience with GitHub Actions
Firm grasp of system design principles
Experience with healthcare data exchange (FHIR, HL7, EDI) 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
401(K) plan
Compensation Based on market data and other factors, the salary range for this position is $180,000-$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 the job description. The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors. We’re committed to doing the best work of our lives, together. Come see if we’re the right team for you. 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 .
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  • New York, New York, United States

Sprachkenntnisse

  • English
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