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Senior Applied AI Engineer

2 months, 1 week ago
United States
Full-time
Senior
AI Engineer
Software Development
Generative AI LLM Machine Learning Python
Apply Now
Curai Health

Curai Health

Curai Health is a text-based primary care service that combines human intuition with advanced AI to provide a fast and hassle-free healthcare experience. They aim to make quality healthcare accessible to all by improving cost-effectiveness and scalabil...

Health Care Providers & Services
51-250
Founded 2017
$38M raised
View All Jobs 2

Description

  • Lead technical execution of complex AI initiatives within a product or technical domain.
  • Design, build, train, evaluate, and improve machine learning and LLM-based systems for patient- and provider-facing products.
  • Own AI problems end-to-end, from scoping with clinicians and product partners through dataset creation, evaluation, modeling, and production deployment.
  • Develop evaluation frameworks using offline benchmarks, human review, and online experiments to measure safety, accuracy, and model improvement.
  • Build and improve data pipelines, training and inference infrastructure, prompt and model management, and tooling for clinical reviewers.
  • Partner with clinicians, product managers, and engineers to translate medical and operational requirements into ML solutions.
  • Set technical direction for your area and mentor other engineers.
  • Stay current with the AI literature and ecosystem and apply relevant advances to the product and team.

Requirements

  • Bachelor’s degree in Computer Science, Software Engineering, Math, or a related technical field.
  • 3+ years of hands-on engineering experience, including 1+ years building and deploying machine learning systems with generative AI/LLMs.
  • Strong software engineering fundamentals and the ability to ship reliable, well-tested code in Python or a comparable language in production.
  • Practical understanding of prompting, retrieval-augmented generation, fine-tuning, evaluation, and their trade-offs.
  • Comfort working with messy, real-world data and designing evaluations to determine whether systems are working.
  • Strong written and verbal communication skills and the ability to collaborate across clinicians, product managers, and engineers.
  • Bias toward action and ownership, with the ability to drive ambiguous problems to results.
  • Commitment to the mission of improving health outcomes for real patients.
  • Experience applying ML or LLMs in healthcare, life sciences, or another regulated, high-stakes domain is preferred.
  • Experience with clinical NLP, medical knowledge representation, or electronic health record data is preferred.
  • Experience building agentic systems or tool-using LLMs in production is preferred.
  • Experience scaling ML infrastructure such as training pipelines, distributed inference, or evaluation platforms is preferred.
  • Track record of technical leadership, including setting direction across teams, mentoring engineers, or publishing influential work, is preferred.

Benefits

  • Competitive compensation of $175,000-$200,000 per year.
  • Meaningful equity.
  • Comprehensive benefits, including medical, dental, and vision coverage.
  • Flexible spending plans.
  • Generous and flexible PTO, floating holidays, and parental leave.
  • 401(k) plan with employer matching.
  • Remote-first, flexible work environment across the U.S.
  • 100% remote work from home.

Interested in this position?

Apply directly on the company website

Apply Now

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