What are the responsibilities and job description for the AI Solutions Engineer position at Ultralux Health?
AI Solutions Engineer
About Us
We are an innovative, fast‐moving Healthcare company on a mission to bring Health 3.0 to the masses. By harnessing cutting‐edge technology, we’re transforming patient care, streamlining medical processes, and empowering individuals with unprecedented access to healthcare solutions. Our culture is collaborative, forward‐thinking, and fast‐paced—we value creativity, personal growth, and pushing boundaries to deliver top‐notch digital experiences.
Location & Work Arrangement
This is a hybrid role, based out of American Fork, UT.
We Encourage You to Apply
Even if you don’t meet every single requirement below, we still want to hear from you! We value people who think outside the box and are willing to dig in to solve problems. If you’re excited about AI and eager to help shape our growing capabilities, we’d love to talk.
Key Responsibilities
Solution Design & Development
- Identify opportunities for AI adoption to meet business needs.
- Design, prototype, and implement AI/ML models, pipelines, and algorithms.
- Develop efficient, scalable code and maintain clean data pipelines.
Integration & Deployment
- Integrate AI solutions with existing systems/applications using APIs or other data integration methods.
- Ensure robustness, scalability, and reliability of solutions in production environments.
Collaboration & Communication
- Collaborate with product managers, data scientists, and software engineers to align technical solutions with business goals.
- Present findings and system improvements to non-technical stakeholders.
Monitoring & Optimization
- Establish metrics and monitoring strategies to evaluate AI solution performance and reliability.
- Continuously optimize and refine models based on real-world feedback.
• Research & Innovation
- Stay up-to-date with AI/ML technologies, frameworks, and best practices.
- Propose new ideas and enhancements to advance our company’s AI capabilities.
Qualifications
Experience & Skills
• 2–5 years in AI/ML engineering, data science, or a related technical role.
• Experience building and deploying AI/ML models in production.
• Proficiency in programming languages such as Python (preferred), R, or Java.
• Familiarity with ML frameworks (e.g., TensorFlow, PyTorch) and data manipulation libraries.
• Strong understanding of APIs, microservices architecture, and data integration best practices.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization (e.g., Docker, Kubernetes).
• Excellent communication and problem-solving skills.
Preferred Education
• Bachelor’s or Master’s degree in a relevant field is preferred but not required. Equivalent practical experience is also welcome.
Nice-to-Have
• Experience with MLOps (CI/CD for ML, model monitoring).
• Background in data engineering or DevOps.
• Familiarity with business process automation and workflow management tools.
Why Join Us
• Impactful Work: Shape our AI strategy and drive meaningful change in healthcare.
• Growth Opportunities: We invest in ongoing learning and professional development.
• Collaborative Environment: Engage with diverse teams across engineering, data science, and product.
• Competitive Compensation: Enjoy a strong salary, benefits, and flexible work arrangements.
