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Twin Health

Staff AI Engineer

RemoteUnited States only
Published
Role
AI / ML
Experience
Staff
Employment
Full-time
Company size
Mid-size
$250k–$265k/yr
Check eligibility

Open to US only. Set where you work from to check your eligibility.

No BS summary

Senior AI Engineer with 8+ years of experience in production ML systems and deep software engineering fundamentals. Must have proven experience setting technical direction, scaling LLM applications, and mentoring senior engineers. Requires proficiency in Python and a CS/Stats degree.

Core skills

Gen AIAI agentsdeep learning

Required skills

PythonLLMsGenerative AIPrompt EngineeringRAGAI evals

Optional skills

Voice AIspecialized Language Models (VLMs, multi-modal, etc.)

Required languages

English

What you'll do

  • 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.
  • Partner with product, engineering leadership, and clinical/research teams to turn ambiguous goals into technical designs you then build.
  • Other duties as assigned.

What they require

  • 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.
  • Bachelor's or Master's degree in Computer Science, Statistics, or a related field.
  • 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

  • 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
🇺🇸 United StatesHealthcareStartup

Details

Visa sponsorshipNo
$250k–$265k/yr