**Start date:** March - April

**Experience level:** Senior (7+ years)

At Juisci, we’re building the future of AI-powered medical research insights. Our product uses SOTA AI to digest, structure, and summarize scientific publications, making evidence-based medicine faster and easier to access.

We’re looking for a Senior AI Engineer to help us take JuisciGPT to the next level:

Answering complex medical questions using only trustworthy sources, without hallucinations.

This is a pivotal role with both high technical and product impact. You’ll lead the design, evaluation, and continuous improvement of our AI pipeline, from content ingestion to high-precision, context-aware LLM outputs.

What you'll do

• Design and maintain scalable AI pipelines for processing and structuring scientific content.
• Choose and implement the right technical approaches (RAG, long-context LLMs, routing systems, post-training, etc.) to meet business and product needs.
• Ensure answer reliability by grounding JuisciGPT responses in verifiable sources (e.g. medical publications, guidelines, Juisci database).
• Build and evaluate source routers, deciding which index or data source is most appropriate for a given user query.
• Continuously monitor and improve model performance based on LLM evaluations, user feedback, business KPIs, and data drift.
• Experiment and prototype rapidly, while maintaining production stability.
• Collaborate closely with our product team to align AI capabilities with user value and maintain existing AI services (document parser, content recommender, summarizer…)

This year’s core mission

Help make JuisciGPT truly reliable at answering medical research questions:

• Improve factual accuracy and eliminate hallucinations.
• Combine retrieval-augmented generation (RAG) with medical-grade context sources (Juisci articles, external publications, medical guidelines).
• Build smart mechanisms to route user questions to the most relevant context (multi-index or long-context retrieval).