Lead AI Engineer

Twin Health, Inc.; United States; Remote; USD 213,000 - 261,000; Full time

Job summary

Twin Health, Inc. is seeking a Lead AI Engineer to design and deliver AI-driven features using generative AI and LLM-based agents.

You will lead end-to-end product lifecycles, apply advanced prompt engineering, and collaborate with clinical, analytics, and engineering teams to create adaptive, personalized solutions for metabolic health outcomes. Qualifications include a Master’s or Bachelor’s in CS or related field, 3–5+ years of relevant experience, and production ML/AI expertise with PyTorch,

Qualifications

• Master’s or Bachelor’s degree in CS/related field with minimum years of experience.
• Production ML/AI systems experience with PyTorch or TensorFlow.
• Proficiency in Python and SQL for data analysis and model development.
• Experience with LLMs, prompt engineering, and RAG.
• Experience building conversational AI agents and transformer models.
• MLOps, deployment, and production monitoring experience.
• Hands-on with large-scale datasets and healthcare/digital health experience.
• Ability to translate business needs into AI/ML solutions through collaboration.
• Familiarity with multimodal AI systems and production optimization.

Responsibilities

• Lead design and development of AI-driven product features.
• Drive end-to-end lifecycle from ideation to deployment and iteration.
• Apply prompt engineering, RAG, and conversational AI to personalize experiences.
• Collaborate with clinical, research, analytics, and engineering teams.
• Provide technical leadership and mentor teammates in AI/ML best practices.

Skills

Machine learning in production

Prompt engineering

Conversational AI

Multimodal AI

RAG (retrieval-augmented generation)

LLMs

Transformer models

MLOps

Data analysis with Python

SQL for data analysis

Education

Master’s degree in Computer Science / related field

Bachelor’s degree in Computer Science / related field

Tools

PyTorch

TensorFlow

Python

SQL

LangChain

LLM deployment

MLOps tooling

Job description

Lead AI Engineer - (employer: Twin Health, Inc.; job location: U.S. remote) - Design and develop AI-driven product features using generative AI, LLM-based agents, deep learning, and personalized recommendation systems to deliver individualized member experiences. Drive the end-to-end lifecycle of AI products, including ideation, prototyping, model development, deployment, and ongoing optimization in production environments. Apply advanced prompt engineering, retrieval-augmented generation (RAG), and conversational AI techniques to build adaptive, personalized solutions. Build and improve machine learning models using supervised and unsupervised learning techniques to support behavior change interventions and sustained improvements in metabolic health outcomes. Analyze large-scale datasets using SQL, Python, and data analysis tools to evaluate model performance, identify trends in member behavior, and inform product improvements. Collaborate cross-functionally with clinical, medical research, business analytics, and engineering teams to design, implement, and deliver end-to-end AI-powered member and clinician experiences. Influence product roadmap decisions by translating data-driven insights, model outcomes, and member feedback into actionable product recommendations. Implement product-ready AI systems using MLOps practices, ensuring scalable deployment, monitoring, model evaluation, and system reliability. Provide technical leadership in architectural design decisions, conduct code and design reviews, and mentor team members on AI/ML best practices. Coordinate technical execution across multiple AI initiatives to ensure alignment with product requirements, project timelines, and quality standards. Telecommuting is permitted from any location in the U.S. Salary: $237,000/year.

Requirements

• Master’s degree (US or foreign equivalent) in Computer Science, Computer Engineering, Information Technology, or a related field and three (3) years of experience in the position offered or in a related role
• OR Bachelor’s degree (US or foreign equivalent) in Computer Science, Computer Engineering, Information Technology, or a related field and five (5) years of experience in the position offered or in a related role
• All of the required experience must have included experience with:
  • developing and deploying machine learning and AI systems in production environments
  • PyTorch or TensorFlow
  • utilizing Python and SQL for data analysis and model development
  • Large Language Models (LLMs) and generative AI technologies, including prompt engineering and retrieval-augmented generation (RAG)
  • building and deploying conversational AI agents or chatbot systems
  • training, fine-tuning, and evaluating transformer-based models
  • Machine Learning Operations (MLOps), model deployment, and production monitoring
  • working with large-scale datasets and data analysis tools
  • applying machine learning to healthcare, digital health or behavior change applications (or similar consumer-facing products)
  • personalized recommendation systems or adaptive AI solutions
  • translating business requirements into AI/ML solutions through cross-functional collaboration
  • Multimodal AI systems
  • using model optimization techniques for production environment
  • LLM frameworks such as LangChain or similar