Applied AI Engineer at Summer Health
San Francisco, California, USA -
Full Time


Start Date

Immediate

Expiry Date

13 Jun, 25

Salary

200000.0

Posted On

14 Mar, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Hospital/Health Care

Description

WHO WE ARE

Summer Health is helping raise the healthiest generation with 24/7 text-based access to pediatric care. We believe that every family deserves quick, reliable, trusted access to health care when and where they need it most, and our aim is to improve the health outcomes of millions of children.
We have raised over $19M through Series A funding from investors including Sequoia, Lux, 7wire Ventures, Chelsea Clinton’s Metrodora Capital, Pivotal Ventures, Box Group, and others to achieve this goal.

APPLIED AI ENGINEER

AI-powered technology is at the heart of our approach enabling us to scale our impact and bring our vision to life. AI is not just a part of our technology stack; it is woven into every facet of our operations, driving everything from internal processes to customer-facing solutions. Our team has developed a best-in-class healthcare experience that delivers quality care without compromising simplicity and security. We’re now looking to expand our AI capabilities to enhance scalability and accessibility, ensuring healthcare remains frictionless.
We’re looking for exceptional engineers who share our passion for transforming pediatrics. We are outliers with a bias to action to raise the standard of care and what’s achievable. If you’re a T-shaped engineer with hands-on AI expertise and a commitment to making a difference, we want you on our cross-functional team. Join us in our pursuit to make healthcare better and more accessible for children everywhere.

Responsibilities
  • Demonstrate experience and depth in building products through applying LLMs or other AI domains like NLP, ML or deep learning.
  • Are familiar with AI Evaluation Frameworks such as RAGAS, DeepEval, Promptfoo, and TruLens.
  • Have experience working with multiple agent frameworks including LangChain, Dialogflow, and OpenAI.
  • Can contribute full-stack, seeing LLM implementations from concept to production.
  • Have experience deploying AI models into product features with a focus on reliability and performance.
  • Have experience with HIPAA compliance or a willingness to learn.
  • Thrive in a collaborative yet distributed working environment. Our team is distributed throughout the US with most in NYC and SF.
  • Care deeply about providing the best care to the thousands of families using our platform to build the healthiest generation.
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