Project: AI Mental Health Platform (Proustify)
Overview:
Proustify is an early-stage mental health tech startup focused on AI-powered journaling, emotion analysis, and clinical support tools. We’re looking for an AI engineer who can help fine-tune and integrate LLMs for voice annotation, emotion tracking, and therapist-facing recommendations.
Responsibilities:
- Fine-tune LLMs (e.g., OpenAI, Claude, DeepSeek) on mental health-specific data (CBT, DBT, DSM-5 patterns)
- Build and test voice-to-text and text summarization flows for patient journaling
- Design emotion detection, pattern recognition, and progress mapping models from journal entries
- Support therapist dashboard logic (e.g., generating exposure therapy suggestions, detecting depressive/anxious spikes)
- Assist in building a rule-based and AI hybrid intake engine for patient-therapist matching
Qualifications:
- Background in machine learning, natural language processing, and fine-tuning LLMs
- Experience working with APIs like OpenAI, Whisper, or Speechly
- Familiarity with mental health applications, journaling tools, or clinical psychology is a big plus
- Bonus: Experience working with Chinese AI models or bilingual systems