Staff AI Engineer

Twin Health

Staff AI Engineer at Twin Health shaping technical direction of AI-driven product and improving metabolic health using AI technologies.

Posted 7/7/2026full-timeRemote • 🇺🇸 United StatesLead💰 $250,000 - $265,000 per yearWebsite

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Design and build the core architecture for AI systems spanning multiple product areas, ensuring coherence and reuse across different applications.
Set the technical bar for the org: evaluation frameworks, testing philosophy, CI/CD for model behavior, and shared infrastructure used across multiple teams.
Identify and resolve systemic engineering gaps before they become team-wide problems — proactively, not just in response to escalations.
Take direct ownership of the hardest, most ambiguous technical problems on the team — the ones without an established playbook — and build the solution end-to-end.
Build and ship conversational agents, deep learning models, and personalization systems that require novel technical approaches.
Improve AI/ML systems and services to drive behavior change and sustained metabolic health improvements across our member base.
Raise the technical level of the team through code review and design review — this is IC technical leadership, not people management. You will not have direct reports.
Partner with product, engineering leadership, and clinical/research teams to turn ambiguous goals into technical designs you then build.
Other duties as assigned.

Requirements

What you’ll need

8+ years of industry experience developing AI and Machine Learning systems in production, with a track record of leading technical initiatives that span multiple teams or systems.
Deep software engineering fundamentals: testing, CI/CD, system design, code review — with demonstrated experience designing evaluation infrastructure and shared tooling for LLM-based systems, not just using it.
Proven experience setting technical direction and engineering standards at an organizational level, not just within a single team or codebase.
Experience creating and scaling applications leveraging LLMs, Generative AI, advanced Prompt Engineering, RAG, and iterative AI evals in production.
Track record of mentoring senior engineers and influencing technical decisions beyond your own project.
Experience with Voice AI or specialized Language Models (VLMs, multi-modal, etc.) is a plus.
Proficiency in Python and software engineering best practices at a level where you're often the one defining what "best practice" means for the team.
Bachelor's or Master's degree in Computer Science, Statistics, or a related field.
This remote opportunity based out of the U.S. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Benefits

Comp & perks

A competitive compensation package in line with leading technology companies
A remote and accomplished global team
Opportunity for equity participation
Unlimited vacation with manager approval
16 weeks of 100% paid parental leave for delivering parents; 8 weeks of 100% paid parental leave for non-delivering parents
100% Employer sponsored healthcare, dental, and vision for you, and 80% coverage for your family; Health Savings Account and Flexible Spending Account options
401k retirement savings plan

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI Systems ArchitectureMachine LearningSoftware Engineering FundamentalsCode ReviewSystem DesignCI/CDPrompt EngineeringGenerative AIEvaluation FrameworksVoice AI

Soft Skills

Technical LeadershipMentoringProblem SolvingCollaboration

Certifications

Bachelor's Degree In Computer ScienceMaster's Degree In Computer Science