AI engineer in financial guidance in London

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 (model orchestration, retrieval, evaluation and guardrails) 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.

Responsibilities:

• Architect and design the core components of our AI platform, from model orchestration to retrieval (RAG), agentic workflows, prompt and context management, so that AI capabilities can be built once and adopted across every Plum team.
• Lead the end-to-end development of LLM-powered customer experiences for the Wealth Advisor, from system design and tool integration through deployment, monitoring and iteration in production.
• Build rigorous evaluation systems including golden datasets, LLM-as-judge grading, regression gates on prompt/model changes and offline-to-online metric correlation, so we can ship AI improvements quickly with confidence.
• Design the guardrails, safety and observability layers (tracing, cost and latency monitoring, content and action controls) that make AI-driven financial guidance trustworthy in a regulated environment.
• Drive the AI Strategic Vision and roadmap, evaluating emerging models, tools and techniques and ensuring our architecture supports high-volume experimentation, rapid iteration and future business needs.
• Promote Continuous Improvement by driving architectural standards, engineering best practices, and operational excellence for AI systems across multiple teams.
• Provide guidance to and mentor Senior Engineers and other team members, raising the bar on AI engineering craft and fostering a culture of technical excellence and career growth.
• Identify root causes of systemic issues, from model quality regressions to architectural bottlenecks, determining short-term mitigations and long-term strategic resolutions.
• Partner closely with Staff Engineers, Product Managers, Data Scientists and Compliance to design AI solutions that unlock new growth opportunities while meeting the standards expected of a regulated financial product.

Requirements:

• 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: agentic systems (tool use, orchestration, multi-step planning), RAG and retrieval pipelines, prompt engineering, and fine-tuning where it adds value.
• Rigour in evaluation methodology: you know how to measure whether an AI system is actually good, design evals that catch regressions, and make the data-backed "don't ship" call when needed.
• Strong software engineering fundamentals: Python, distributed systems, APIs, cloud infrastructure, that you have used over the years to build AI products on solid foundations.
• High level of pragmatism; you understand when to build for scale and when to optimise for speed of learning, and you balance model capability against cost, latency and reliability.
• Strong planning and prioritisation skills, with the ability to translate high-level business goals into actionable technical strategies across the AI stack.
• Ability to share product insight with stakeholders, challenge product decisions with data, and act as a bridge between Engineering, Product, and Data Science.
• Demonstrated capacity to clearly and concisely communicate about complex technical, architectural, and/or organisational challenges to both technical and non-technical executives.
• Experience working within a cross-functional team and collaborative environment; ability to facilitate technical decision-making and resolve conflicts across teams.
• Self-motivated and self-managing, with excellent organisational skills and a focus on high-leverage work.

Desirable:

• An appreciation for the responsibility that comes with applying AI to people's money. Awareness of safety, fairness and regulatory considerations is a strong plus.

Benefits:

• 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: we encourage at least 2 days a week in one of our beautiful offices in London, Athens or Cyprus.
• Team breakfasts and team lunches.
• 25 days holiday + bank holidays.
• 45 work-from-anywhere days: giving you the flexibility to work your way.
• 2 weeks & 6 weeks sabbatical after 4 years and 8 years respectively to take the break you deserve.
• Enhanced parental leave.
• Wedding allowance.
• 1 paid volunteering day annually.
• Annual team trip: to a surprise destination!
• A fun, inclusive company culture.