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 — ensuring compliance with US industry standards. Responsibilities: • Work with Cloud LLMs (Azure OpenAI) , both public (e.g. OpenAI, Anthropic, Google) and private / self-hosted models . • Perform fine-tuning of LLMs and support their deployment into production environments. • Design and implement Retrieval-Augmented Generation (RAG)pipelines. • Prepare, clean, and manage datasets for training, fine-tuning, and evaluation. • Collaborate with product, backend, and DevOps teams to integrate AI solutions into applications. • Monitor, evaluate, and improve model performance, quality, and reliability. Skills/Requirements: • Strong experience working with Cloud LLMs (Azure OpenAI)(public and private). • Practical experience with fine-tuning and deploying language models. • Hands-on experience with RAG architectures (vector databases, embeddings, retrieval strategies). • Solid understanding of data preparation , datasets, and evaluation techniques. • Experience with NodeJS (Python will be a plus) and common ML/AI frameworks (PyTorch, Hugging Face, LangChain / LlamaIndex, etc.) We offer: • Flexible working hours • Remote work/office work • Paid vacation • Paid sick leave • Corporate doctor services • Free English classes • Life event support • Payment for educational courses, certificates (50%) • Different sports activities in the office (badminton, tennis, darts, gym) • Fully equipped office with car and bicycle parking Apply tot his job
Ready to Apply?
Don't miss out on this amazing opportunity!
🚀
Apply Now