Sr. Software Engineer, Backend at AKASA

South San Francisco, California, United States

AKASA Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Healthcare, AI, HealthtechIndustries

Requirements

  • 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 (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

Responsibilities

  • 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 product, design, and machine learning teams
  • Mentor junior engineers on the team

Skills

Backend Development
AI
Generative AI
Software Engineering
Python
Java
Scalable Systems
APIs
Microservices
Cloud Computing

AKASA

Automates revenue cycle management processes

About AKASA

AKASA offers technology solutions that enhance efficiency and revenue outcomes for healthcare organizations by using a mix of computer vision-based Robotic Process Automation (RPA), machine learning, and human-in-the-loop automation. Their services streamline complex Revenue Cycle Management (RCM) workflows, allowing healthcare staff to focus on more meaningful tasks. Unlike competitors, AKASA specifically targets operational inefficiencies in revenue cycle departments, helping clients like Methodist Health System achieve significant gross yield increases. The company's goal is to empower healthcare organizations to improve their operational efficiency and patient experience.

San Francisco, CaliforniaHeadquarters
2018Year Founded
$199.4MTotal Funding
SERIES_CCompany Stage
AI & Machine Learning, HealthcareIndustries
51-200Employees

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.

Risks

Generative AI adoption may increase competition, eroding AKASA's market share.
Healthcare's cautious approach may slow adoption of AKASA's new technologies.
Integration with existing EHR systems may pose implementation challenges for AKASA.

Differentiation

AKASA uses AI to automate complex revenue cycle tasks in healthcare.
Their solutions decrease A/R days by 13% and increase efficiency by 86%.
AKASA's tailored AI models outperform generic models like GPT-4 by up to 40%.

Upsides

AKASA's GenAI solutions reduce prior authorization time by up to 50%.
Over 70% of healthcare organizations are exploring generative AI for revenue cycle management.
AKASA's Medical Coding enhances efficiency and accuracy in the $23B medical coding field.

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