AI/ML Software Engineer - Healthcare SaaS Systems

Jobgether • United States

Remote

This Job is No Longer Active This position is no longer accepting applications

AI Summary

Design, develop, and maintain scalable full-stack AI/ML-driven microservices and SaaS applications for healthcare use cases. Implement and integrate machine learning models and third-party AI technologies into production systems. Requires 4+ years of AI/ML software engineering experience, strong Python proficiency, and hands-on experience with SaaS platforms and microservices architectures.

Key Highlights

Building production-grade AI/ML systems for healthcare applications

Integrating machine learning models into scalable SaaS platforms

Full-stack development with microservices architecture

Collaborative agile environment with cross-functional teams

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Key Responsibilities

Design, develop, and maintain scalable full-stack AI/ML-driven microservices and SaaS applications for healthcare use cases

Implement and integrate machine learning models and third-party AI technologies into production systems

Collaborate with technical architects to translate system designs and business requirements into high-quality, reliable code

Participate in code reviews, ensuring adherence to engineering best practices, security standards, and performance expectations

Troubleshoot complex production issues, perform root-cause analysis, and implement effective long-term solutions

Contribute to technical documentation, ensuring clarity and usability for engineering teams and stakeholders

Develop proofs of concept for new AI/ML features and evaluate emerging technologies for potential adoption

Support agile delivery by working closely with cross-functional teams to meet project timelines and client expectations

Technical Skills Required

Python Machine Learning Microservices

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Benefits & Perks

Competitive compensation

Fully remote or hybrid flexibility within eligible US states

Opportunity to work on impactful healthcare technology solutions

Collaborative, engineering-driven culture focused on quality and continuous learning

Work on real-world problems in a fast-evolving HealthTech environment

Job Description

This role sits at the intersection of healthcare, software engineering, and applied artificial intelligence, focused on building scalable, production-grade AI/ML systems that power modern HealthTech applications. You will join a collaborative engineering environment where you contribute directly to the design, development, and optimization of microservices and intelligent platforms used by healthcare organizations. The role involves hands-on engineering across full-stack systems, integrating machine learning models and third-party services into robust SaaS solutions. You will help shape technical architecture, ensure high code quality, and participate in code reviews and system design discussions. Working in an agile, client-driven setting, you will also engage in problem-solving for complex healthcare workflows that require both technical depth and practical business understanding. This is an opportunity to grow into ownership of key systems while contributing to impactful healthcare innovation.

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