Ingénieur de développement NLP/RAG F/H
Core
Improve RAG-based agents for structuring and synthesizing medical patient records into chronological timelines.
Role type
NLP/RAG engineer (medical data)
Builds
Medical data structuration and synthesis agents for the Odymine product
Domain
Healthcare + NLP/LLM
Deliverable
production ML models
Required skills
Python, Java, Angular, Machine Learning, NLP, BM25, vector search, chunking, structured search, LLM evaluation (LLM as a judge), SPARQL
Preferred skills
Medical domain knowledge, multi-step agent design
Technologies
spaCy, BERT, Qwen, Gemma, Elasticsearch, MariaDB
Responsibilities
Develop document selection methods for RAG agents, create multi-step agents, validate data quality using goldstandards and LLM judges, implement improvements for medical data structuration
Seniority
Junior/Mid (Stage/Internship)
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