Start Date
Immediate
Expiry Date
08 Nov, 25
Salary
0.0
Posted On
09 Aug, 25
Experience
0 year(s) or above
Remote Job
Yes
Telecommute
Yes
Sponsor Visa
No
Skills
Python, Clinical Training, Clinical Psychology, Psychotherapy, Patient Care, Psychiatry
Industry
Hospital/Health Care
Limbic is making personalized mental healthcare available to everyone, everywhere. Using artificial intelligence we’ve built a virtual therapy assistant to support patients and clinicians throughout the care pathway. Our innovative AI in combination with the unique data we are collecting has proven to be our key differentiator.
Our AI agents are already used in over 40% of NHS talking therapy services and in US some of the largest healthcare providers. It’s challenging. We’re ambitious. And we’re helping one another to achieve our best and make a real impact in the world.
As Clinical AI Engineer you will join our cutting-edge research team and spearhead projects using large language models (LLM) to deliver diagnostic and therapeutic content and exercises. There is a clear focus on ensuring clinical safety and therapeutic benefit to patients while driving engagement with the therapeutic material.
You should apply if you are passionate about employing your clinical expertise on a large scale, enabling other therapists to provide the best care possible to patients, and pushing the boundaries of AI-enabled healthcare.
You will take the lead on your own language-based features to improve our product as well as helping to improve and maintain our existing set of features. You will take ownership of the whole life cycle of a new LLM-feature, design and conduct LLM-projects from start to finish.
REQUIREMENTS:
patients’ experience and personalised care within Limbic
How To Apply:
Incase you would like to apply to this job directly from the source, please click here
patients’ experience and personalised care within Limbic
ongoing monitoring of feature in production
with our product
engineering team to implement new LLM-features in the product
the best clinical impact to patients