Senior AI Applications Engineer Remote

Position: Senior AI Applications Engineer Remote, USA
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 start by building 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 even eliminated medications, all while living healthier, happier lives.

Working here

Our team at Twin Health is passionate, talented, and united by a shared purpose: to improve the metabolic health and happiness of our members. We believe in empowering every Twin to make a meaningful impact for our members, our clients, and each other, while enjoying a supportive, collaborative work environment.

Twin has been recognized not only for our innovation but also for our culture, including:
Innovator of the Year by the Employer Health Innovation Roundtable (EHIR), selected to CB Insights’ Digital Health 150, and named one of Newsweek’s Top Most Loved Workplace® .

With more than $100 million raised in recent funding, including a $53 million Series E round in 2025 led by Maj Invest, and a $50 million investment in 2023 led by Temasek, Twin is scaling rapidly across the U.S. and globally. Backed by leading venture firms like ICONIQ Growth, Sequoia, Sofina, Temasek, and Peak XV, we are building the most impactful digital health company in the world.

Join us as we reinvent the standard of care in metabolic health.

We are looking for an AI Applications Engineer to join our team and help shape the next generation of deeper activity experiences. This is an exciting opportunity to work at the intersection of backend engineering and AI, collaborating closely with backend, mobile, and AI engineers, as well as clinical teams, to build innovative solutions. Your work will empower members with personalized experiences that enhance engagement and support overall metabolic well‑being.

Responsibilities

• Contribute to the design, development, and deployment of AI agents and tools that streamline clinical decision‑making and enhance clinical workflows.

• Explore and implement full‑stack architecture for AI‑agentic systems, from context engineering to API design and deployment.

• Develop and maintain robust, scalable backend services and integrations (using Python, Java Spring Boot, SQL) that serve as the foundation for our AI applications.

• Collaborate with cross‑functional teams to help translate clinical and operational needs into technical specifications and prototypes.

• Follow best practices for developing reliable, secure, and scalable AI applications, ensuring all solutions meet compliance standards such as HIPAA.

• Monitor and optimize the performance of AI systems in production to handle growth and ensure a seamless user experience.

• Take on additional responsibilities as needed, including on‑call rotations.

• Regular travel to our Mountain View headquarters for planning workshops and team collaboration sessions.

• Other duties as assigned

Qualifications

• Bachelor’s degree in Computer Science or a STEM‑related field (Master’s preferred).

• 5+ years of software engineering experience, with a strong foundation in building backend services.

• Demonstrated experience in developing and deploying AI‑powered applications using Large Language Models (LLMs) like GPT, Claude, or Gemini.

• Strong practical knowledge of prompt engineering, vector databases, Retrieval‑Augmented Generation (RAG), and other techniques for building reliable LLM‑based systems.

• Proficiency in Java and/or Python and experience developing microservices.

• Hands‑on experience with SQL databases (Postgre

SQL, MySQL) and query optimization.

• Proven ability to work across disciplines, collaborating effectively with product, design, and non‑technical stakeholders to build user‑centric solutions.

• Excellent communication skills and a demonstrated ability to navigate ambiguity and…