You will lead the AI integration layer at CollegePass across undergraduate, MS, and MBA admissions journeys. This includes GPT-powered assistants for profile scoring, resume analysis, college and career recommendations, SOP/essay feedback, and embedding-based memory systems via LangChain and Pinecone. You will build scalable prompt chains that adapt to different personas and levels — and power the heart of our personalized advising engine.

Key Responsibilities

Design GPT-4 assistant workflows for:
UG students: activity evaluation, college shortlist, essay ideas
MS applicants: SOP suggestions, project alignment, research directions
MBA applicants: goals essays, resume readiness, school fit
Build and maintain a LangChain-based RAG system integrated with Pinecone to enable memory, context recall, and document augmentation.
Parameterize and personalize prompts based on:
Grade level, curriculum, activities, scores
Career test output, resume quality, parental background
Applicant segment (UG, MS, MBA)
Collaborate with the Product Data Scientist to:
Ingest scoring logic and recommendation rules into GPT workflows
Incorporate behavior-based activity tiering into response logic
Integrate AI outputs via secure APIs into React dashboards and advisor tools
Optimize performance: token usage, latency, multi-turn prompt chaining
Test outputs across segments and improve response relevance and tone

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