AKASA

Software Engineer, Applied AI

AKASA
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5 days ago
San Francisco, CA, USA +2 moreMid Level
H1B sponsor

Base Salary

$180k - $250k/yr

Responsibilities

  • Build LLM-driven features and products, including agentic systems for healthcare revenue cycle workflows.
  • Design and build services, APIs, tools, and production infrastructure for SaaS products deployed across hospitals.
  • Deploy evaluation frameworks and experimentation loops using data-driven and statistical approaches.
  • Partner with product, clinical, revenue cycle, design, and machine learning teams to develop reliable, auditable AI systems.

Requirements

  • Bachelor of Science in computer science, software engineering, or a related field.
  • At least 3 years of experience in a technical role involving AI and data analysis or backend systems.
  • At least 1 year of experience shipping production AI systems to end users.
  • Experience designing offline and online evaluations and deploying agentic systems.
  • Proficiency in Python.
  • Healthcare technology experience with EDI, HL7, or FHIR is preferred.
  • Ability to thrive in a startup environment and work on challenging problems.

Benefits

  • Flexible paid time off.
  • Health, dental, and vision coverage.
  • Employer contributions to Health Savings Accounts.
  • Generous parental leave policy.
  • Employer-paid life insurance coverage.
  • Home office stipend.
  • Cell phone and internet reimbursement.
  • Company-paid holidays.
  • 401(k) plan.

Tech Stack

AKASA

About AKASA

201-500 employees

AKASA builds generative AI software that automates hospital revenue cycle and mid-cycle workflows — including prior authorization, clinical documentation integrity, inpatient coding, and denials appeals — for U.S. health systems. Its platform uses custom large language models tailored to each customer and is sold as enterprise software and services. Founded in 2019 and headquartered in South San Francisco, the company is privately held and raised a Series C in 2022.

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