Twin HealthRemote
Senior AI Engineer
United States of America
Full Time
1 hour ago
$200,000 - $220,000 USD
No H1B
Key skills
AI EngineeringMachine LearningGenerative AILarge Language ModelsPrompt EngineeringRetrieval-Augmented Generation (RAG)PythonContinuous Integration/Continuous Deployment (CI/CD)Evaluation Frameworks for AI ModelsDeep LearningVoice AIMulti-modal Language ModelsAIMLLLMRAGAnalyticsCI/CDPrototyping
About this role
Twin Health is a company focused on improving and preventing chronic metabolic diseases using AI Digital Twin technology. They are seeking a Senior AI Engineer to enhance their AI-driven product by implementing the latest techniques in Generative AI and deep learning.
Responsibilities:
- Drive the end-to-end lifecycle of AI products, from ideation and prototyping to development, deployment, and optimization
- Own the engineering quality of the AI system — evaluation frameworks, testing, CI pipelines for model behavior, and shared tooling used by the team
- Set and enforce engineering standards through code review: testing practices, abstractions, observability, and production reliability
- Apply advanced AI/ML and software engineering techniques to develop conversational AI agents, deep learning, and personalized recommendations to create “N of 1” solutions that adapt to individual needs
- Build and improve ML models to drive behavior change to achieve sustained improvements in metabolic health for a diverse member base across diabetes, weight loss, etc
- Influence product roadmap by deeply understanding member behavior and preferences through continuous data analysis
- Collaborate cross-functionally with our clinical, medical research, business analytics, and engineering teams to design end-to-end AI-powered experiences for our members and clinical teams and achieve metrics-driven impact
- Additional duties as assigned
Requirements:
- 5+ years of industry experience developing AI and Machine Learning systems in production. Experience building consumer facing features a plus
- Strong software engineering fundamentals: testing, CI/CD, system design, code review. This is not a research role. Experience building evaluation infrastructure for LLM-based systems (not just running evals, but building the framework). Comfortable extending shared infrastructure and reviewing code at a senior SWE level
- Experience creating applications leveraging LLMs, Generative AI, advanced Prompt Engineering, RAG, and iterative AI evals
- 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
- This remote opportunity is available to US based persons. Applicants must be authorized to work for any employer in the U.S
- Previous experience in healthcare is preferred, but not required
- Experience with Voice AI or specialized Language Models (VLMs, multi-modal, etc) would be a plus