One thing’s certain all 350+ of our colleagues would say the same: it’s a truly unique and unrepeatable experience. At UC, professional growth and personal development go hand in hand. From tailored professional trainings to team-building events, we make sure work is both inspiring and fun.
You can enjoy the vibe at IT Fest, enjoy the scenic Balaton Circle on two wheels or on foot, unwind in our cozy kUCkó, unleash your creativity during themed craft afternoons, or make a difference through our charity events.
• Build RAG based solutions that combine retrieval and generation to deliver accurate, context aware answers for Sales, Support Engineers, and Field Engineers.
• Fine tune and optimize large language models (LLMs) for domain specific tasks, improving answer quality and relevance.
• Design modular, reusable AI components to streamline development and support future scalability.
• Develop and continuously refine AI prompts used by Support Engineers.
• Review and update existing prompts based on evolving market needs and product updates.
• Perform Exploratory Data Analysis (EDA) to evaluate dataset quality and readiness.
• Maintain and evolve all Data Science and GenAI solutions owned by the team.
• Strong understanding of GenAI fundamentals and RAG concepts.
• Knowledge of data quality dimensions (accuracy, completeness, consistency, uniqueness, timeliness).
• Experience with EDA techniques for assessing dataset health.
• Minimum 5 years of experience in an IT Software Engineering role.
• Minimum 3 years of experience in a GenAI focused Software Engineering or Data Science role.
• Hands on experience with at least one of: TypeScript, NodeJS, Python, NestJS, React, Next.js.
• Advanced Linux/Unix proficiency.
• Knowledge of at least one object oriented programming language.
• Familiarity with DevOps practices and tools.
• Strong focus on code quality, maintainability, testing, and documentation.
• High motivation to learn new technologies and work in a rapidly evolving field.
• Fluent English communication skills.
• Experience working with OpenWebUI.
• Experience with Knime Analytics Platform.
• Knowledge of containerization and Docker.
• Experience with CyberSecurity Vulnerability assessments.
• Background in medical imaging or familiarity with the DICOM standard.
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