[Remote] AI Applications Engineer at Twin Health

United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Digital Health, HealthcareIndustries

Requirements

Bachelor’s degree in Computer Science or a STEM-related field
2+ years of software engineering experience, with a foundation in building backend services
Demonstrated experience (professional or personal projects) in developing AI-powered applications using Large Language Models (LLMs) like GPT, Claude, or Gemini
Familiarity with prompt engineering, vector databases, and Retrieval-Augmented Generation (RAG)
Proficiency in Java and/or Python and experience developing microservices
Experience with SQL databases (PostgreSQL, MySQL)
Ability to work across disciplines, collaborating effectively with technical and non-technical stakeholders
Strong communication skills

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

Skills

Key technologies and capabilities for this role

AIDigital TwinBackend EngineeringMachine LearningData Modeling

Questions & Answers

Common questions about this position

What technical skills are required for the AI Applications Engineer role?

The role requires Python, Java Spring Boot, and SQL for developing backend services and integrations, along with experience in full-stack architecture for AI-agentic systems including context engineering, API design, and deployment.

What is the work environment like at Twin Health?

The team is passionate, talented, and united by a shared purpose to improve metabolic health, with a supportive, collaborative work environment that empowers every employee to make a meaningful impact.

Is this position remote or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What makes a strong candidate for this AI Applications Engineer position?

Strong candidates will have expertise in Python, Java Spring Boot, SQL, and AI systems, along with the ability to collaborate with cross-functional teams including backend, mobile, AI engineers, and clinical teams to translate needs into technical solutions.

Twin Health

Monitors and treats chronic metabolic diseases

About Twin Health

Twin Health focuses on addressing chronic metabolic diseases by targeting their root cause: damaged metabolism. The company operates in the healthcare and wellness market, specifically for individuals suffering from conditions like diabetes and Metabolic Syndrome. Twin Health uses its Whole Body Digital Twin technology, which combines sensors, artificial intelligence, and medical science to create a virtual model of the human body. This technology allows for real-time monitoring and analysis of a person's metabolic functions, enabling the creation of personalized treatment plans. Unlike its competitors, Twin Health emphasizes reversing and preventing these diseases through a subscription-based model that provides continuous support and updates. The goal of Twin Health is to effectively manage and reduce the prevalence of chronic metabolic diseases, improving the health of millions globally.

Mountain View, CaliforniaHeadquarters

2018Year Founded

$227.1MTotal Funding

LATE_VCCompany Stage

AI & Machine Learning, HealthcareIndustries

501-1,000Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

Unlimited Paid Time Off

Parental Leave

Health Savings Account/Flexible Spending Account

Company Equity

Remote Work Options

Flexible Work Hours

Risks

Competition from companies like Virta Health threatens Twin Health's market share.

Privacy concerns and regulatory scrutiny challenge wearable technology data collection.

Economic downturn may impact consumer spending on health subscriptions, affecting revenue growth.

Differentiation

Twin Health's Whole Body Digital Twin offers real-time metabolic monitoring and personalized treatment.

The platform integrates AI, sensors, and medical science to reverse chronic diseases.

Twin Health targets root causes of metabolic diseases, unlike competitors focusing on symptoms.

Upsides

Growing digital twin market offers strong potential for Twin Health's technology.

Increasing trend in personalized medicine aligns with Twin Health's treatment approach.

AI-driven solutions adoption by healthcare providers enhances collaboration opportunities for Twin Health.

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