About the job
The GenAI Engineer will be responsible for designing, developing, and deploying AI-driven systems focused on document parsing, context understanding, and knowledge graph construction. The role combines expertise in generative AI models, large language model (LLM) frameworks, and graph-based data representation. Your responsibilities will include: • Design and develop AI pipelines for document parsing, information extraction, and text understanding using LLMs and NLP techniques. • Implement GenAI systems for summarization, semantic search, and contextual reasoning using retrieval-augmented generation (RAG). • Collaborate with data scientists, AI/ML engineers, and software teams to integrate GenAI features into production. Required Qualification: • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field. • 7–10 years of experience in AI, NLP, or Machine Learning with hands-on GenAI or document understanding experience. • Strong proficiency in Python and familiarity with AI frameworks (PyTorch, TensorFlow).
Requirements
- Generative AI
- Document Parsing
- Context Understanding
- Knowledge Graph Construction
- Python
- NLP
Qualifications
- Bachelor’s Degree
- Master’s Degree
Preferred Technologies
- Generative AI
- Document Parsing
- Context Understanding
- Knowledge Graph Construction
- Python
- NLP
About the company
Boston Scientific is a global leader in the development of medical devices. Our organization is across Canada and has commercial representation in 140 countries. We focus on collaboration with colleagues, clients, and stakeholders across Canada, the U.S., and internationally.
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