Senior AI Applications Engineer
Posted on October 24, 2025 (about 11 hours ago)
About Twin Health
At Twin Health, we empower people to improve and prevent chronic metabolic diseases, like type 2 diabetes and obesity, with a new standard of care. Twin Health is the only company applying AI Digital Twin technology exclusively toward metabolic health.
We build a dynamic model of each person’s metabolism — drawing on thousands of data points from CGMs, smartwatches, and meal logs — that maps their personal path to better health. Guided by a dedicated clinical care team, our members have lowered their A1C below the diabetes range, achieved lasting weight loss, and reduced or eliminated medications, living healthier, happier lives.
Our passionate and talented team is united by the purpose to improve metabolic health and happiness of our members. We foster an empowering, collaborative, and supportive work environment. Twin has been recognized for innovation and culture, including awards from Employer Health Innovation Roundtable, CB Insights, and Newsweek. With over $100 million raised, Twin is scaling rapidly across the U.S. and globally, backed by leading venture firms.
Join us in reinventing the standard of care in metabolic health.
Opportunity
We are seeking an AI Applications Engineer to develop the next generation of deeper activity experiences. This role intersects backend engineering and AI, collaborating with backend, mobile, AI engineers, and clinical teams to build innovative solutions. The work empowers members with personalized experiences enhancing engagement and metabolic well-being.
Responsibilities
- Design, develop, and deploy AI agents and tools to streamline clinical decision-making and enhance clinical workflows.
- Implement full-stack architecture for AI-agentic systems, including context engineering, API design, and deployment.
- Develop and maintain robust backend services and integrations using Python, Java Spring Boot, and SQL as the foundation for AI applications.
- Collaborate cross-functionally to translate clinical and operational needs into technical specifications and prototypes.
- Adhere to best practices for reliable, secure, scalable AI applications compliant with HIPAA.
- Monitor and optimize AI system performance in production to ensure seamless user experience and handle growth.
- Participate in on-call rotations and other duties as assigned.
- Travel regularly to Mountain View headquarters for planning and collaboration sessions.
Qualifications
- Bachelor’s degree in Computer Science or related STEM field; Master’s preferred.
- 5+ years of software engineering experience with strong backend services expertise.
- Experience developing and deploying AI-powered applications using Large Language Models like GPT, Claude, or Gemini.
- Knowledge of prompt engineering, vector databases, Retrieval-Augmented Generation (RAG), and building LLM-based systems.
- Proficiency in Java and/or Python and microservices development.
- Experience with SQL databases like PostgreSQL and MySQL, including query optimization.
- Ability to collaborate across disciplines, with excellent communication and project management skills.
- Healthcare or biosensor experience is a plus but not required.
- Remote U.S.-based role requiring valid U.S. work authorization.
Compensation and Benefits
The annual salary range for this position is $195,000 to $210,000.
We offer comprehensive benefits aligning with our values of passion, talent, and trust, including competitive compensation, remote/global team environment, equity participation, unlimited vacation with approval, paid parental leave, employer-sponsored healthcare, dental, vision, HSA/FSA options, and a 401k retirement savings plan.
How to Apply
Please apply via the job application form on the Twin Health Greenhouse job board page. Fill out the required fields including personal details, resume, cover letter, and answers to job-specific questions related to your AI application experience and software engineering skills.
The final interview for this role will be on-site in Mountain View, CA, so candidates must be willing to attend in person if invited.
Submit your application through the provided Greenhouse platform interface to be considered for this remote position based in the USA.