AI Software Engineer

Sensible Care•Pasadena, CA
•$160,000 - $200,000•Onsite

About The Position

Sensible Care is hiring an AI Software Engineer to join its AI engineering team and conduct R&D projects exploring novel AI solutions to significant healthcare problems. The role uses the scientific method to test new applications of AI in mental healthcare, working with engineers, data professionals, and clinicians to discover ways AI can improve patient outcomes. The position is full-time and in-office at Sensible Care’s AI Lab in Pasadena, California. The schedule is Monday through Friday, 9 a.m. to 6 p.m. The engineer will turn open-ended mental healthcare questions into testable hypotheses, design and evaluate experiments, and build proof-of-concept prototypes with LLMs, machine-learning models, and other AI tools. The role also involves collaborating with clinicians to understand workflows and pain points, and protecting sensitive patient data in accordance with HIPAA and other regulations while accounting for mental-health-specific safety risks.

Requirements

  • At least 3 years of hands-on, production-level software development experience.
  • Hands-on experience building with LLM APIs such as OpenAI or Anthropic, or with machine-learning models in production.
  • Strong Python skills.
  • Familiarity with Git and the basics of CI/CD.
  • Willingness to take initiative and ownership in a small-company environment.
  • Ability to work autonomously, take loosely defined ideas, and develop them into proof-of-concept projects.
  • Careful attention to privacy, safety, and accuracy, particularly where patients are affected.

Nice To Haves

  • Experience with web or mobile application development.
  • Experience in healthcare or health technology.
  • Experience working in a research setting.

Responsibilities

  • Use the scientific method to test novel applications of AI in mental healthcare.
  • Turn open-ended questions about mental healthcare into testable hypotheses, design experiments, and draw clear conclusions from the results.
  • Build working proof-of-concept prototypes using LLMs, machine-learning models, and other AI tools.
  • Work with engineers, data professionals, and clinicians to explore ways AI can improve patient outcomes.
  • Partner with therapists, psychologists, and other clinicians to understand clinical workflows and pain points.
  • Protect sensitive patient data in line with HIPAA and other regulations, and build safeguards for mental-health-specific risks.

Benefits

  • 15% bonus.
  • Meaningful equity in the form of ISOs.
  • 401(k) account with contribution matching.
  • Gym membership stipend.
  • 15 vacation days and 5 sick days annually.
  • Paid holidays.
  • Health, dental, and vision coverage for the employee and their family.
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