Software Engineer - 6305
Cambridge, Cambridgeshire, United Kingdom
Hybrid / WFH Options
Hybrid / WFH Options
Cambridge University Press
Enhancing core internal applications by implementing new features and resolving software issues. Integrating AI technologies, with an emphasis on Large Language Models (LLMs) and prompt engineering methodologies. Utilising low-code/no-code platforms such as Retool, and workflow automation solutions including n8n. Collaborating in an agile setting alongside skilled engineers, Product Owners, and Subject Matter Experts. … or Python. Solid understanding of AI and Machine Learning, with a focus on Large Language Models (LLMs). Hands-on experience or strong aptitude for quick learning with low-code/no-code platforms like Retool and automation tools such as n8n. Familiarity with cloud infrastructure, especially AWS services (e.g., S3, RDS). Practical experience working in More ❯
Employment Type: Permanent
Salary: GBP Annual
Posted: