Job Overview
Location
NYC
Job Type
Full-time
Category
Software Engineering
Date Posted
May 8, 2026
Full Job Description
📋 Description
- • As a Client Solutions Software Engineer at AKASA, you will deliver client deployments that empower healthcare revenue cycle teams to work faster, more accurately, and with greater insight by implementing and maintaining AI-powered solutions that streamline healthcare operations.
- • You will execute implementation tasks from requirements analysis to configuration, testing, rollout, and production support; collaborate with client engagement teams on technical onboarding, integration, troubleshooting, and data acquisition; build and own evaluation frameworks to measure and improve LLM performance across customer deployments; contribute feedback to shape product and platform improvements; and work closely with R&D engineering teams to build robust, scalable client solutions.
- • AKASA is a leader in generative AI for healthcare revenue cycle management, trusted by top health systems including Cleveland Clinic, Duke, Stanford, and Johns Hopkins, with over $205M in funding and recognition as a Great Place to Work for six consecutive years.
- • In this role, you will gain deep experience in deploying and evaluating large language models in production healthcare environments, strengthen your expertise in MLOps and client-facing AI systems, and contribute to impactful technology that improves clinical documentation and revenue cycle performance at scale.
🏖️ Benefits
- • 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
Skills & Technologies
About AKASA Inc.
AKASA Inc. is a San Francisco-based healthcare automation company that provides AI-driven revenue cycle management software for hospitals and health systems. Its Unified Automation platform uses machine learning to streamline prior authorization, claims processing, payment posting and denial management, integrating with existing electronic health record and billing systems. Founded in 2018, the company helps providers reduce administrative costs, accelerate reimbursements and improve financial outcomes while enabling clinical staff to focus on patient care.
Subscribe to the weekly newsletter for similar remote roles and curated hiring updates.
Newsletter
Weekly remote jobs and featured talent.
No spam. Only curated remote roles and product updates. You can unsubscribe anytime.
