We are looking for an AI Engineer to join our development team to help with our product roadmap. The ideal candidate will have a strong desire to deliver high quality solutions which satisfies business needs and requirements. They will be an effective communicator to technical and non-technical audiences with excellent organisational skills and ability to manage own workload effectively. A highly motivated individual who can work as part of an agile team with a willingness to collaborate and contribute new ideas to drive continuous improvement and a good analytic skill to solve problems. Reporting into a Lead Developer the AI Engineer will be responsible for implementing AI solutions for a varying range of clients. The engineer will join a multidisciplinary team helping to shape our AI strategy, showcasing the potential for AI and getting key stakeholder buy in. In this dynamic role, you will have the opportunity to work with a great team, contributing to a positive culture and working closely with our clients in maximising the use of our best of breed solutions. Key Responsibilities • Develop high-quality AI solutions in accordance with established standards. • Collaborate with delivery teams and stakeholders to plan, design, and architect upcoming projects. • Manage tasks effectively, providing accurate estimates and tracking progress while reporting any encountered issues, • Create robust solutions utilizing the latest AI technologies, including LLMs, Generative AI, and machine learning. • Maintain awareness of overall AI standards, such as prompt engineering. • Enforce quality standards through peer reviews and team retrospectives. • Participate in agile ceremonies and drive continuous improvement within the development team. • Define configuration specifications, architecture, and requirements. • Create and maintain detailed technical documentation on processes, workflows, and technologies used in solution development. • Engage in knowledge-sharing with team members to foster collective learning and expertise within the team. Skills, Knowledge and Expertise • Proven commercial experience in developing AI solutions. • Proficiency in Natural Language Processing, computer vision, or other AI subfields. • Experience with Large Language Models (LLMs), including principles such as prompt engineering. • Strong background in data science. • Familiarity with tools such as Databricks and Jupyter Notebooks. • Experience with cloud AI services (Azure, AWS, or GCP). • Solid understanding of Python programming. • Proficient in GIT source control. • Ability to work independently with minimal supervision, as well as collaboratively within a team. • Strong analytical and problem-solving skills, with a logical and structured approach to documentation and processes.