Vumedi Inc.
Principal Software Engineer, AI Discovery & Recommendations
US OAK · Principal
Sponsorship not specifiedDetected 5 days ago
PythonDistributed SystemsBackend DevelopmentAlgorithmsVector DatabasesMachine LearningData ScienceLLMsRAGA/B TestingClinical TrialsClinical ResearchPatient CareResearchLeadershipCollaboration
About the role
- This isn't about adding an AI feature to an existing product.
- You'll help define how hundreds of thousands of physicians discover knowledge through intelligent retrieval, semantic search, personalized recommendations, and LLM-powered experiences.
- This is a rare opportunity to apply modern AI techniques to a mission that directly improves patient care around the world.
Responsibilities
- You'll move comfortably between whiteboard discussions, architectural design, experimentation, and production code.
- Building LLM-powered discovery experiences that understand clinical intent and not just keywords.
- Developing semantic search, retrieval, ranking, and recommendation pipelines using embeddings, vector search, and modern retrieval architectures.
- Building scalable inference and retrieval services capable of serving physicians around the world.
Requirements
- Knowledge retrieval systems
- Knowledge graphs
- We're excited by candidates who have experience with many of the following:
- You don't need experience with every technology we use today.
- We care far more about your ability to solve difficult discovery and AI problems than familiarity with a specific framework.
Skills
- Evaluating and implementing emerging AI technologies, frameworks, and infrastructure as the ecosystem rapidly evolves.
Benefits
- Designing intelligent recommendation systems that personalize educational content for physicians.
- Designing production-grade knowledge graph RAG systems that combine medical knowledge with generative AI.
Company info
- Work alongside engineers, product leaders, and data experts across our Oakland headquarters and engineering office in Zagreb, Croatia.
- This is a hybrid position based in Oakland, California (or our Minneapolis, MN office) with in-office collaboration on Monday, Wednesday, and Friday
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