Key Job Responsibilities:
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As a mid-level AI/LLM Engineer, you will be responsible for building and optimizing Retrieval-Augmented Generation (RAG) models to facilitate search across large-scale medical and scientific documents. This involves pre-processing and embedding over half a billion documents to ensure they are searchable and contextually accurate.
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You will focus on developing semantic chunking strategies, improving the automated evaluation pipeline, and fine-tuning LLMs for textual RAG use cases. Additionally, you will work on hands-on experimentation, model development, and backend engineering, with deployments to non-prod environments and collaboration with DevOps for production rollout.
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Required Skills and Qualifications:
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* Proven experience in building and deploying large-scale AI/LLM models
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* Strong understanding of natural language processing and machine learning concepts
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* Proficiency in programming languages such as Python or Java
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* Experience with cloud-based services and DevOps tools
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Benefits:
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This role offers a unique opportunity to contribute to cutting-edge research and development in the field of AI and NLP. You will have the chance to work with a talented team of engineers and researchers, and collaborate with top industry experts.
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Other Opportunities:
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As a member of our team, you will have access to ongoing training and professional development opportunities, as well as a dynamic and inclusive work environment.