Staff AI Engineer — Remote, Equity & Unlimited PTO

twinhealth; United States; Remote; USD 250,000 - 265,000; Full time

Benefits offered by this job

Equity participation

Unlimited vacation with manager审批

16 weeks paid parental leave

Job summary

Twin Health is seeking a staff AI engineer to set the technical direction for a core AI team building generative AI, AI agents, and deep learning capabilities within a digital metabolic health platform. This is a senior IC role focused on system-level architecture, shared tooling, and engineering standards.

You will own end-to-end design of AI systems, lead through code reviews, and collaborate with product, engineering leadership, and clinical teams to translate ambiguous goals into concrete

Qualifications

• 8+ years of production AI/ML system experience.
• Hands-on with LLMs, Generative AI, RAG, and production evaluations.
• Bachelor's or Master's in CS, Stats, or related field; authorized to work in the US.

Responsibilities

• Design core AI system architecture spanning product areas.
• Set technical standards, testing philosophy, CI/CD for models.
• Close systemic engineering gaps proactively.
• Own the hardest, most ambiguous technical problems end-to-end.
• Build and ship conversational agents and personalization systems.
• Improve AI/ML systems for metabolic health outcomes.
• Lead via code/design reviews without direct reports.
• Collaborate with product/engineering/clinical teams to translate goals into designs.

Skills

AI system design

CI/CD

Code review

Mentoring

Education

Bachelor's or Master's in CS/Stats

Tools

Python

LLM tooling

Job description

Twin Health is seeking a staff AI engineer to set the technical direction for a core AI team building generative AI, AI agents, and deep learning capabilities within a digital metabolic health platform. This is a senior IC role focused on system-level architecture, shared tooling, and engineering standards.

You will own end-to-end design of AI systems, lead through code reviews, and collaborate with product, engineering leadership, and clinical teams to translate ambiguous goals into concrete