Principal Algorithm Developer

We are looking for a Principal Algorithm Developer with experience in NLP and LLMs, who is a highly motivated, collaborative, and results-driven individual who can work both independently and as part of a multidisciplinary team. The ideal candidate has a strong can-do attitude, excellent problem-solving skills, leadership skills, and a passion for leveraging AI to solve meaningful challenges in text analysis in the medical domain.As part of the AI team you will:Design, develop, implement, and evaluate robust, scalable AI algorithms and agentic workflows & infrastructure, tailored to real-world challenges in clinical settings.Prepare, process, and analyze complex medical data to support algorithm development and validation.Ensure the reliability, performance, and accuracy of algorithms in production, including troubleshooting, testing, monitoring, and continuous improvement.Collaborate closely with Product Managers and Clinical Specialists to translate clinical and business needs into data-driven solutions.Research, develop and integrate Large Language Models (LLMs) to extract insights from medical texts and develop intelligent agents for optimized clinical decision support.Lead development and drive technical decisions that impact your technical domain and related systems across the organization.Mentor and develop algorithm developers through technical guidance & design reviews.Stay up to date with cutting-edge advancements in GenAI, LLMs, and Deep Learning.Organize and actively participate in seminars, book clubs, and conferences.Requirements: Required Qualifications:Minimum of 10 years of hands-on experience in algorithm development using Python.A strong foundation in software engineering principles and clean, efficient coding practices.Extensive experience with NLP, LLMs, RAG, prompt engineering, and agentic workflows.Experience in the deployment, delivery, and maintenance of AI algorithms in real-world production environments.Experience in developing and deploying deep learning models (CNNs, ViTs, VLMs) for medical data classification, segmentation, and object detection tasks.Strong interpersonal and leadership skills; a team player who can work effectively in a cross-functional environment involving product managers, clinicians, and fellow engineers.Preferred Qualifications:Experience with AWS.Experience in the medical domain.M.Sc. or higher in Computer Science or a related scientific discipline.This position is open to all candidates.