Senior AI Engineer

twinhealth; United States; Remote; USD 200,000 - 220,000; Full time

Benefits offered by this job

Equity

Unlimited vacation

Parental leave

Health coverage

401(k)

Job summary

Twin Health is seeking a senior AI engineer to join a core AI team building AI-driven products for metabolic health outcomes in chronic conditions. You will own end-to-end AI features, including generative agents and personalized recommendations, within a digital twin platform.

The role is hands-on with end-to-end ownership from ideation to deployment and continuous optimization, collaborating with clinical and engineering teams. Remote-friendly for US-based candidates with strong compensation.

Qualifications

• 5+ years of industry experience in production AI/ML systems.
• Strong fundamentals: testing, CI/CD, system design, code review.
• Experience with LLMs, retrieval-augmented generation, and prompt engineering.
• Experience deploying models in production AI systems.
• Authorized to work in the United States.

Responsibilities

• Drive the full lifecycle of AI products from ideation to deployment and optimization.
• Own engineering quality of AI systems, including testing and CI pipelines.
• Set and enforce engineering standards through code review and observability.
• Build conversational AI agents, deep learning models, and personalized recommendations.
• Improve ML models to drive behavior change for metabolic health.
• Collaborate with clinical, research, analytics, and engineering teams.

Skills

Python

CI/CD

LLM-based systems

Prompt engineering

Evaluation infrastructure

Team collaboration

Software design

Education

Bachelor's or Master's in CS/Stats

Tools

LLM tooling

Python tooling

Job description

Role overview

A senior AI engineer is needed to join a core AI team that builds AI-driven products improving metabolic health outcomes for people living with chronic conditions such as type 2 diabetes and obesity. The work centers on shipping production AI features—including generative AI agents, deep learning models, and personalized recommendations—within a digital twin platform that combines predictive and generative AI. It is a hands-on engineering role, not a research position, with end-to-end ownership from ideation through deployment and continuous optimization.

Responsibilities

• Drive the full lifecycle of AI products, from ideation and prototyping through development, deployment, and ongoing optimization
• Own the engineering quality of AI systems, including evaluation frameworks, testing, CI pipelines for model behavior, and shared team tooling
• Set and enforce engineering standards through code review covering testing practices, abstractions, observability, and production reliability
• Apply advanced AI/ML and software engineering techniques to build conversational AI agents, deep learning models, and personalized recommendations that adapt to each individual's needs
• Build and improve ML models that drive behavior change and support sustained metabolic health improvements across a diverse member base
• Collaborate cross-functionally with clinical, medical research, business analytics, and engineering teams to design end-to-end AI-powered experiences

Requirements

• 5+ years of industry experience developing AI and machine learning systems in production; experience with consumer-facing features is a plus
• Strong software engineering fundamentals including testing, CI/CD, system design, and code review, plus hands-on experience building evaluation infrastructure for LLM-based systems
• Experience creating applications that leverage LLMs, generative AI, advanced prompt engineering, retrieval-augmented generation, and iterative AI evaluations
• Experience integrating and deploying models in production AI systems
• Proficiency in Python and software engineering best practices
• Bachelor's or Master's degree in Computer Science, Statistics, or a related field
• Authorized to work in the United States

Nice to have

• Experience with Voice AI or specialized language models such as vision-language and multi-modal systems

Benefits and work setup

• Annual compensation range of $200,000–$220,000 USD
• Remote-friendly work setup available to US-based candidates
• Competitive compensation package aligned with leading technology companies
• Equity participation opportunity
• Unlimited vacation with manager approval
• 16 weeks of 100% paid parental leave for delivering parents and 8 weeks for non-delivering parents
• 100% employer-sponsored healthcare, dental, and vision coverage for employees with 80% family coverage, plus HSA and FSA options
• 401(k) retirement savings plan