[Remote] Senior AI Applications Engineer at Twin Health

United States

Twin Health Logo
Not SpecifiedCompensation
N/AExperience Level
N/AJob Type
Not SpecifiedVisa
N/AIndustries

Requirements

  • 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 (PostgreSQL, MySQL) and query optimization

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

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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