Software Engineer, Applied AI

AKASA

• $180K — $250K *
Healthcare
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Software Engineering, or related field
  • 3+ years of experience in a technical role with a strong foundation in AI and data analysis
  • 1+ years of experience shipping production AI systems to end users
  • Experience designing offline/online evaluations and implementing agentic systems
  • Proficiency in Python programming
  • Ability to thrive in a startup environment tackling complex problems
  • Healthcare technology experience (EDI, HL7, FHIR) is a plus.

Responsibilities

  • Build AI-driven features and products that enhance clinical workflows.
  • Collaborate with subject matter experts to solve complex healthcare challenges.
  • Deploy evaluation frameworks and maintain production-grade systems.
  • Develop data-driven approaches to balance coding guidelines, user feedback, and auditability.
  • Work with product, clinical, and revenue cycle teams to innovate AI applications in healthcare.

Benefits

  • Flexible paid time off (PTO)
  • Comprehensive health, dental, and vision insurance
  • Employer contribution to Health Savings Accounts (HSA)
  • Generous parental leave policy
  • Full coverage for life insurance
  • Home office stipend
  • Cell phone and internet reimbursement
  • Paid holidays
  • 401(K) plan
Full Job Description
About the Role

As an Applied AI Engineer, 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 the services, APIs, and tools that undergird 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 features and products driven by LLMs. You will touch the whole stack, from designing agentic systems for revenue cycle workflows to the infrastructure that runs them in production across hundreds of hospitals.
  • Work alongside strong subject matter experts on complex, challenging problems that span from high-stakes clinical diagnoses to regulated medical billing with no easy answers.
  • Deploy the evaluation frameworks and experimentation loops that deliver reliable, production-grade systems. You'll use data-driven and statistical approaches to balance across medical coding guidelines, user feedback, and auditability.
  • Partner directly with product, clinical, and revenue cycle experts to push the frontier of what AI can do inside the healthcare revenue cycle.


What We're Looking For
  • Bachelor of Science in Computer Science/Software Engineering or related field
  • 3+ years in a technical role with a strong foundation in AI and data analysis or backend systems
  • 1+ years shipping production AI systems to end users
  • Experience designing offline/online evaluations and landing agentic systems
  • Proficiency in Python
  • Thrives in a startup environment working on challenging problems
  • Healthcare technology experience (EDI,HL7,FHIR) 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-$250,000 + 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.

We're committed to doing the best work of our lives, together. Come see if we're the right team for you.

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