Our client is a leading innovator in the healthcare technology sector, focusing on digital solutions that streamline pharmaceutical and medical workflows. They are dedicated to improving patient access and operational efficiency through advanced generative AI and secure document processing. The team operates in a collaborative, fast-paced environment where compliance and precision are central to their mission.The RoleDesign and refine advanced prompts to automate the extraction and classification of data from complex pharmaceutical contracts and medical service forms.Build and maintain comprehensive evaluation datasets and testing frameworks to ensure the accuracy and safety of large language model outputs.Develop production-ready document ingestion workflows using Python and integrate retrieval-augmented generation components to enhance data retrieval.RequirementsProven professional experience in prompt engineering specifically focused on document extraction, summarization, and structured data outputs.At least 3 years\' experience working with Python, including frameworks such as FastAPI or Django, and a solid understanding of Pydantic.Practical knowledge of RAG architectures, embeddings, and methods for mitigating model hallucinations in a production setting.Demonstrated experience using Git, Docker, and CI/CD pipelines within an Agile development environment.Good to HaveFamiliarity with LangChain, LlamaIndex, or fine-tuning techniques for specialised language models.Experience handling sensitive data pipelines or working within specialty pharmacy and HUB service operations.Background in the automated analysis of legal amendments or reimbursement documentation.Why ApplyThis is a premier opportunity to join a forward-thinking team at the intersection of AI innovation and healthcare improvement. As the organisation scales its generative AI capabilities, you will play a pivotal role in shaping technologies that have a tangible impact on patient care and industry compliance. Given the rapid expansion of this project, we encourage interested candidates to apply promptly to secure a place in the upcoming interview rounds.
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