Staff AI Engineer

In this role you will shape Plum’s AI foundation and its integration with financial software to deliver safe, scalable AI-driven guidance. You’ll lead cross-team AI platform design, partnering with engineers, data scientists, and product stakeholders to enable rapid experimentation while meeting regulatory standards. You help turn the AI strategy into reliable, high-impact customer experiences and drive architectural excellence. This is a chance to influence how millions access smarter money management at scale.

• stock options
• Private health insurance
• Annual training budget
• Flexible remote work
• 2 office locations (London, Athens, Cyprus)
• 25 days holiday + bank holidays

• Architect core components of the AI platform, including model orchestration, retrieval (RAG), and prompt management for cross-team reusability
• Lead end-to-end development of LLM-powered customer experiences from design to production deployment and monitoring
• Build evaluation systems with golden datasets, regression gates, and metric correlation to ship AI improvements confidently
• Design guardrails, safety, observability, cost and latency monitoring to ensure trustworthy, regulated AI guidance
• Drive AI strategic vision and roadmap, evaluating models and tools for high-volume experimentation
• Promote continuous improvement via architectural standards and engineering best practices across teams
• Provide mentorship to Senior Engineers and promote AI engineering craft and career growth
• Identify root causes of systemic issues and plan short- and long-term resolutions
• Partner with Staff Engineers, Product Managers, Data Scientists and Compliance to align AI solutions with regulatory requirements

• Proven track record of leading LLM-powered systems in production at scale
• Hands-on experience with agentic systems, RAG, retrieval pipelines, prompt engineering, and fine-tuning
• Rigorous evaluation methodology to measure AI quality and spot regressions
• Strong software engineering fundamentals: Python, distributed systems, APIs, cloud infrastructure
• Pragmatic approach balancing scale, speed of learning, cost, latency and reliability
• Strong planning and prioritisation to translate business goals into technical strategy
• Ability to communicate complex technical topics to both technical and non-technical stakeholders
• Experience in cross-functional collaboration and technical decision-making across teams
• Awareness of safety, fairness and regulatory considerations in AI applications

• Strong communication skills
• Collaboration and teamwork
• Strategic thinking
• Python
• Distributed systems
• APIs