A respected psychology clinic in the Bay Area is seeking a developer to help deploy a local large language model (LLM) to enhance their intake and referral process — matching new clients with the right therapists based on their intake forms.
Because of data privacy requirements, the model must run locally rather than through a cloud API. The project focuses on LLM setup and workflow integration, not GUI or app development. A lightweight, existing interface (such as Claude Code) will likely be sufficient.
Ideal candidate experience:
* LLM deployment, fine-tuning, or local hosting
* Light scripting or prompt engineering
* Comfortable working independently on small applied projects
** Competitive pay
** Short-term, flexible hours
** Remote or Bay Area-based collaboration
This is a great opportunity to apply your AI skills in a meaningful, real-world healthcare setting. If interested, please reach out at zcchen@alumni.stanford.edu for details or an introduction to the clinic owner.
Because of data privacy requirements, the model must run locally rather than through a cloud API. The project focuses on LLM setup and workflow integration, not GUI or app development. A lightweight, existing interface (such as Claude Code) will likely be sufficient.
Ideal candidate experience:
* LLM deployment, fine-tuning, or local hosting
* Light scripting or prompt engineering
* Comfortable working independently on small applied projects
** Competitive pay
** Short-term, flexible hours
** Remote or Bay Area-based collaboration
This is a great opportunity to apply your AI skills in a meaningful, real-world healthcare setting. If interested, please reach out at zcchen@alumni.stanford.edu for details or an introduction to the clinic owner.