Senior Software Engineer, Data & AI Platform

Company: RemoteHunter

Location: Location not specified (Remote)

Type: Full-time

Remote: Yes

Posted: 2026-07-18

About this role

1. About Our Client:

The organization operates in the healthcare industry, focusing on improving chronic disease management by providing ongoing support beyond traditional doctor visits. It addresses the gap in care for conditions such as obesity, diabetes, hypertension, cholesterol, and musculoskeletal issues through a virtual-first model that integrates human-led care teams, connected devices, and AI technology. The program has served over two million members across a wide range of employers, health plans, and health systems, aiming to enhance personalized care at scale.

2. About the Opportunity:

The Senior Software Engineer, Data & AI Platform is responsible for designing, building, and scaling data platform capabilities that support analytics, data science, and AI initiatives. This role plays a key part in creating reusable frameworks and services that enable teams to efficiently develop data products and AI-powered workflows, with an emphasis on security, reliability, and innovation. The position contributes to advancing the organization''s data infrastructure and driving improvements in healthcare decision-making through modern data technologies.

3. Responsibilities:

• Design and operate scalable data and AI platform features for analytics and AI use cases with focus on data quality, lineage, security, and governance.

• Develop reusable abstractions, templates, and workflows to standardize data pipeline and product development.

• Collaborate with analytics, AI, data engineering, and application teams to deliver platform capabilities supporting business and clinical decisions.

• Evaluate and integrate modern data and AI technologies emphasizing scalability, reliability, developer experience, and cost efficiency.

• Apply Generative AI to enhance data discovery, documentation, automation, and platform usability.

• Promote software engineering best practices including clean code, automated testing, CI/CD, infrastructure-as-code, monitoring, and secure da...

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