Staff AI Engineer

Millions of people want to grow their money but don't know where to start. More than 90% of adults don’t access traditional financial advice. That's the gap Plum was built to close. We're building the proactive money platform that makes it easy for people to smartly and sustainably grow their money. Since 2016, millions of people across 10 European markets have set aside more than £10 billion with Plum. We're now going after something even bigger: the £2 trillion+ advised market in the UK and beyond, currently locked behind high fees and complexity.

At Plum, you'll be part of a team that's ambitious, curious and driven. We move fast, learn from what doesn't work, challenge the status quo and, most importantly, build something that makes people's lives better. We believe great ideas can come from anywhere, and that the best work happens when people feel trusted to take ownership, collaborate openly and bring their whole selves to work. Join nearly 300 Plumsters and be part of a team shaping the future of money.

The Role

At Plum, we’re looking for engineers who care deeply about technology, customer impact, and building things that scale. We’re looking for a Staff AI Engineer to work across our AI Platform and Wealth Advisor teams, the teams behind the intelligence that powers Plum. The AI Platform team builds the foundations that every AI experience at Plum runs on, while the Wealth Advisor team uses those foundations to deliver trusted, personalised financial guidance to millions of customers. Together, they tackle some of Plum’s most important and technically interesting challenges: making AI-driven financial advice safe, accurate and accessible to everyone.

You’ll help shape the technical direction of AI at Plum, connecting LLM-powered products, backend systems, and financial infrastructure to create a platform that’s reliable, scalable, and built for rapid innovation.

What You Will Do

• Architect and design the core components of our AI platform, from model orchestration to retrieval, agentic workflows, prompt and context management.
• Lead the end-to-end development of LLM-powered customer experiences for the Wealth Advisor.
• Build rigorous evaluation systems including golden datasets, LLM-as-judge grading, regression gates on prompt/model changes and offline-to-online metric correlation.
• Design the guardrails, safety and observability layers that make AI-driven financial guidance trustworthy in a regulated environment.
• Drive the AI Strategic Vision and roadmap, evaluating emerging models, tools and techniques.
• Promote Continuous Improvement by driving architectural standards, engineering best practices, and operational excellence for AI systems.
• Provide guidance to and mentor Senior Engineers and other team members.
• Identify root causes of systemic issues, determining short-term mitigations and long-term strategic resolutions.
• Partner closely with Staff Engineers, Product Managers, Data Scientists and Compliance to design AI solutions.

What We Look For

• Proven track record of technical leadership, with experience designing, shipping and operating LLM-powered systems in production at scale.
• Hands-on experience across the modern AI stack.
• Rigour in evaluation methodology.
• Strong software engineering fundamentals.
• High level of pragmatism.
• Strong planning and prioritisation skills.
• Ability to share product insight with stakeholders.
• Demonstrated capacity to clearly and concisely communicate about complex technical challenges.
• Experience working within a cross-functional team and collaborative environment.
• Self-motivated and self-managing, with excellent organisational skills.
• An appreciation for the responsibility that comes with applying AI to people’s money.

Plum Perks

• Own part of the company through stock options.
• Private health insurance.
• Annual training budget.
• Plum Max subscription for yourself and Boost for 2 friends or family members.
• Referral scheme: earn competitive rewards up to 4k.
• Flexible approach to remote working.
• Team breakfasts and team lunches.
• 25 days holiday + bank holidays.
• 45 work-from-anywhere days.