AI/ML Software Engineer - Healthcare SaaS Systems

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI/ML Software Engineer based in United States.

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.

Accountabilities

• 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.
  
  

Requirements

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• Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, or a related field.
• 4+ years of experience as an AI/ML Software Engineer or similar role (excluding internships).
• Strong proficiency in Python and experience working in Linux or macOS environments.
• Experience building and maintaining SaaS platforms, ideally with microservices-based architectures.
• Hands-on experience integrating machine learning models into production systems.
• Strong understanding of software engineering principles, including system design, scalability, and code quality.
• Excellent communication skills, both written and verbal, with the ability to work in client-facing environments.
• Ability to work independently while contributing effectively in a collaborative, agile engineering team.
  
  

Benefits

• Competitive compensation aligned with experience and technical expertise
• Fully remote or hybrid flexibility within eligible US states

Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.

• Opportunity to work on impactful healthcare technology solutions
• Exposure to modern AI/ML systems, architectures, and production-scale engineering challenges
• Collaborative, engineering-driven culture focused on quality and continuous learning
• Opportunity to grow into technical ownership of key systems and services
• Work on real-world problems in a fast-evolving HealthTech environment
• Access to diverse projects involving AI, microservices, and scalable SaaS platforms.
  
  

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

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