Ai Engineer

As an AI Engineer in the IP Development team, you will be responsible for driving the effective use of AI across our software development lifecycle. Your focus will be on identifying where AI can improve delivery, quality, and user experience, and turning those opportunities into practical, scalable solutions.
You will work closely with Engineering Managers, the Principal Developer, Software Architect, and Product teams to embed AI into both how we build products and how our platforms operate. This includes enhancing existing capabilities (e.g. retrieval-augmented generation), improving prompt design and reliability, and exploring new use cases that deliver real value.
You will also play a key role in enabling the wider team, helping developers, designers, and product teams adopt AI tools and approaches in a way that is effective, responsible, and aligned to our engineering standards.
Role Responsibilities
Identify and deliver practical AI use cases across the development lifecycle (e.g. planning, design, development, testing, and support)
Design, build, and improve AI-enabled features within our platforms, including RAG-based solutions and LLM integrations
Develop and refine prompts, workflows, and evaluation approaches to improve reliability, accuracy, and usefulness of AI outputs
Work closely with Engineering and Architecture to ensure AI solutions are scalable, maintainable, and aligned with platform design
Collaborate with Product teams to identify opportunities where AI can enhance user experience or unlock new capabilities
Support the integration of AI services and tooling (e.g. model APIs, orchestration layers, vector stores) into existing systems
Help define and evolve best practices for using AI within the team, including quality, security, and governance considerations
Enable and upskill the wider team by sharing knowledge, running sessions, and supporting hands-on adoption of AI tools
Evaluate emerging tools and technologies, balancing experimentation with practical implementation
Contribute to improving team efficiency through the use of AI-assisted development tools and workflows
Monitor and assess the effectiveness of AI implementations, iterating based on feedback and outcomes
Where appropriate, support the safe and responsible use of AI, including data handling, prompt safety, and output validation
Person Specification & Skills
Experience working with AI/ML technologies, particularly LLMs and modern AI tooling
Practical experience building or integrating AI-enabled applications (e.g. RAG, chat interfaces, AI-assisted workflows)
Strong understanding of prompt design, evaluation, and techniques to improve output quality and consistency
Experience working with APIs and integrating external services into applications
Familiarity with concepts such as vector databases, embeddings, and information retrieval
Understanding of software development practices and how AI fits into the development lifecycle
Ability to collaborate effectively with engineering, product, and design teams
Strong problem-solving skills and a practical approach to experimentation and delivery
Comfortable working in a fast-evolving space with changing tools and approaches
Strong communication skills, with the ability to explain AI concepts and approaches clearly
Experience using AI-assisted development tools (e.g. Copilot, Claude Code or similar), or supporting others in their adoption
Hands-on software development experience (e.g. TypeScript, Python, or similar) is beneficial but not essential
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