Job Description
We are looking for an AI Engineer with hands-on experience working with Cloud Large Language Models (LLMs)to join our team. Customer Overview: We are partnering with a fast-growing US company transforming workflows at the intersection of healthcare and legal domains. The platform supports medical record management, legal case processing, secure data exchange, and workflow automation β ensuring compliance with US industry standards. Responsibilities: β’ Work with Cloud LLMs (Azure OpenAI) , both public (e.g. OpenAI, Anthropic, Google) and private / self-hosted models . β’ Perform fine-tuning of LLMs and support their deployment into production environments. β’ Design and implement Retrieval-Augmented Generation (RAG)pipelines. β’ Prepare, clean, and manage datasets for training, fine-tuning, and evaluation. β’ Collaborate with product, backend, and DevOps teams to integrate AI solutions into applications. β’ Monitor, evaluate, and improve model performance, quality, and reliability. Skills/Requirements: β’ Strong experience working with Cloud LLMs (Azure OpenAI)(public and private). β’ Practical experience with fine-tuning and deploying language models. β’ Hands-on experience with RAG architectures (vector databases, embeddings, retrieval strategies). β’ Solid understanding of data preparation , datasets, and evaluation techniques. β’ Experience with NodeJS (Python will be a plus) and common ML/AI frameworks (PyTorch, Hugging Face, LangChain / LlamaIndex, etc.) We offer: β’ Flexible working hours β’ Remote work/office work β’ Paid vacation β’ Paid sick leave β’ Corporate doctor services β’ Free English classes β’ Life event support β’ Payment for educational courses, certificates (50%) β’ Different sports activities in the office (badminton, tennis, darts, gym) β’ Fully equipped office with car and bicycle parking Apply tot his job
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