Staff AI Engineer

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

Role overview

A staff AI engineer is being recruited to set the technical direction for a core AI team building generative AI, AI agent, and deep learning capabilities within a digital metabolic health platform. This is a senior individual contributor role focused on system-level architecture, shared tooling, and engineering standards rather than people management. The engineer will work on ambiguous, high-impact problems that span multiple product areas and influence how the broader team builds, evaluates, and ships AI.

Responsibilities

• Design and build the core architecture for AI systems spanning multiple product areas, ensuring coherence and reuse across applications.
• Set organizational technical standards, including evaluation frameworks, testing philosophy, CI/CD for model behavior, and shared infrastructure.
• Proactively identify and close systemic engineering gaps before they become widespread issues.
• Take end-to-end ownership of the hardest, most ambiguous technical problems, building novel solutions from scratch.
• Build and ship conversational agents, deep learning models, and personalization systems that require original technical approaches.
• Improve AI/ML systems that drive measurable behavior change and metabolic health improvements for members.
• Lead through code review and design review, raising the technical bar of the team without direct reports.
• Partner with product, engineering leadership, and clinical or research teams to translate ambiguous goals into concrete technical designs.

Requirements

• 8+ years of industry experience developing AI and ML systems in production, with a track record of leading technical initiatives across multiple teams or systems.
• Deep software engineering fundamentals, including testing, CI/CD, system design, and code review, plus hands-on experience designing evaluation infrastructure for LLM-based systems.
• Proven experience setting technical direction and engineering standards at an organizational level.
• Hands-on experience creating and scaling applications that use LLMs, Generative AI, advanced prompt engineering, RAG, and iterative AI evaluations in production.
• Track record of mentoring senior engineers and influencing technical decisions beyond a single project.
• Proficiency in Python and a track record of defining, not just following, engineering best practices.
• Bachelor's or Master's degree in Computer Science, Statistics, or a related field; must be authorized to work in the US without visa sponsorship.

Nice to have

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

Benefits and work setup

• Compensation range of $250,000 to $265,000 annually.
• Remote US-based role with a distributed global team.
• Equity participation, unlimited vacation with manager approval, and 16 weeks of 100% paid parental leave for delivering parents (8 weeks for non-delivering parents).
• 100% employer-sponsored healthcare, dental, and vision for employees with 80% family coverage, HSA and FSA options, and a 401(k) retirement plan.