Generative AI Engineer

Company Description CROAccelerate specializes in turning complex technological challenges into measurable growth and efficiency for its clients. The company focuses on converting critical business processes into scalable, automated solutions that enhance reliability and performance. By applying cutting-edge engineering practices, CROAccelerate helps organizations accelerate their growth trajectories. Its emphasis on speed and precision is designed to strengthen clients’ competitive advantage in rapidly evolving markets.Role Description The Generative AI Engineer will design, build, and optimize AI models and pipelines that automate and enhance core business processes. Day-to-day responsibilities include developing and fine-tuning generative models, integrating AI solutions into production systems, and collaborating with product and operations teams to translate business requirements into robust technical implementations. The role also involves monitoring model performance, improving reliability and scalability, and documenting architectures, experiments, and best practices. This is a full-time, on-site position based in Kharkiv.Qualifications Strong foundation in computer science, including data structures, algorithms, and software engineering principlesHands-on experience with machine learning and deep learning frameworks (e.g., PyTorch, TensorFlow) and modern generative models (e.g., transformers, diffusion models, LLMs)Proficiency in programming languages commonly used in AI engineering (e.g., Python, plus familiarity with tools such as Git, Docker, and REST APIs)Experience deploying and maintaining AI systems in production, including model optimization, monitoring, and scaling in cloud or on-prem environmentsAbility to design experiments, analyze data, and evaluate model performance using appropriate metrics and statistical methodsStrong problem-solving skills, attention to detail, and the ability to work effectively in cross-functional technical teamsBachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experienceExperience in process automation, workflow optimization, or enterprise software development is a plusGood written and verbal communication skills in a professional, multicultural environment