AI Jobs

Benefits:

• Health insurance (medical, dental, vision)

• Retirement planning (401k)

• Paid time off

Education Requirements:

• Bachelor’s degree in Computer Science, Software Engineering, Biomedical Engineering, or a related field

Experience Requirements:

• Minimum of 3-5 years of experience in software quality assurance or quality engineering

• Experience in the medical device or healthcare software industry

• Project management experience (leading a team or project)

• Experience with software medical device quality system validation practices

• Experience in Agile/Scrum environments

Other Requirements:

• Proficient in Python and Playwright

• Knowledge of FDA, ISO 13485, and IEC 62304

• Certification in software testing (e.g., ISTQB) is a plus

• Knowledge of HIPAA compliance and data privacy regulations

• Experience with medical imaging formats such as DICOM

Responsibilities:

• Design, develop, and execute test plans and test cases for medical software

• Develop manual and automated testing scenarios for AI model results

• Ensure compliance with industry standards and regulatory guidelines (FDA, ISO 13485)

• Prepare and maintain detailed test documentation and reports

• Identify, document, and track software defects

Benefits:

• Health insurance (medical, dental, vision)

• Retirement planning (401k)

• Paid time off

Experience Requirements:

• 7+ years of experience building large-scale backend or distributed systems

• 2+ years managing or leading technical teams

• Deep experience with cloud-native distributed architectures (AWS preferred)

• Experience building or managing multi-tenant SaaS systems

• Experience operating systems in compliance-sensitive environments (healthcare, finance)

Other Requirements:

• Hands-on knowledge of event-driven systems (Kafka/Kinesis/PubSub)

• Proficient in modern programming languages (Python, Go, Java, or similar)

• Knowledge of distributed data storage (S3, RDS, DynamoDB, Delta Lake)

• Experience with workflow orchestration frameworks

• Flexible and have an entrepreneurial mindset

Responsibilities:

• Lead, mentor, and develop a team of backend and platform engineers

• Drive execution of critical platform initiatives like DICOM ingestion and data pipelines

• Provide hands-on technical guidance in system design and cloud-native architecture

• Work with Product Management to break down features into technical plans

• Partner with Data Science/ML teams to support model training and inference workflows