Senior Applied AI Research Engineer

• Explore emerging AI technologies and engineering patterns through hands-on experimentation and rapid prototyping
• Formulate hypotheses, structure experiments, evaluate results against defined criteria, and convert findings into engineering recommendations
• Contribute to the definition and continuous evolution of the organization-wide AI SDLC
• Assess AI technologies, model outputs, and industry trends
• Define evaluation criteria and identify failure modes before broader adoption
• Produce documentation, reusable guidance, and recommendations for delivery teams and leadership
• Move between research, prototyping, engineering, architecture discussions, consulting, and organizational enablement
• Collaborate with the delivery-facing AI rollout function through a continuous feedback loop
• Incorporate recurring challenges and patterns discovered during real project adoption

• Typically 6+ years of production software delivery as a Senior Engineer or Tech Lead
• Strong software engineering and architecture fundamentals, including APIs, distributed systems, testing, delivery practices, and maintainability
• Hands-on experience with AI agents and agentic workflows
• Experience with LLM APIs and model integration
• Practical experience with evaluation and testing of AI systems
• Awareness of security, privacy, and responsible AI considerations
• Experience with CI/CD and software delivery practices
• Experience with observability and monitoring
• Strong R&D mindset and ability to create structure from ambiguity
• Critical thinking and systems thinking
• Strong written and verbal communication
• Pragmatism balancing experimentation with production realities
• LLM-based application development experience
• Retrieval-Augmented Generation (RAG)
• Tool/function calling and protocols such as MCP
• API design and integration
• Data pipelines and data management
• Containers and cloud-native development
• Experience with Python, JavaScript/TypeScript, Java, .NET, or similar

• Medical benefits
• Gym support
• Personalised fitness options
• Team events
• Healthy Habits Club
• Flexible work-life dynamic / one-size-fits-one approach
• Mental wellbeing support
• Social wellbeing support
• Hybrid-environment community activities