Sr. Software Engineer, Backend at AKASA

South San Francisco, California, United States

Apply Now

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

Key technologies and capabilities for this role

Backend DevelopmentAIGenerative AISoftware EngineeringPythonJavaScalable SystemsAPIsMicroservicesCloud Computing

Questions & Answers

Common questions about this position

Is this a remote or hybrid role?

This is a hybrid position.

What is the salary range for this Sr. Software Engineer role?

This information is not specified in the job description.

What are the main responsibilities for this backend engineer position?

You will build and maintain backend services, build on top of machine learning to solve customer problems, and design novel experiences for large healthcare organizations.

What is the company culture like at AKASA?

AKASA has been certified as a 'Great Place to Work' for the past five years and emphasizes building the future of healthcare with AI while fostering collaboration across product, design, and machine learning teams.

What makes a strong candidate for this Sr. Software Engineer role?

Strong candidates will have backend development experience, ability to build services and APIs on top of machine learning models, and interest in solving challenging problems in healthcare AI.

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.

Land your dream remote job 3x faster with AI

Try Jobo Free