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Plum

Staff AI Engineer

Plum is hiring a Staff AI Engineer in London, Athens and Nicosia. Level rates it ; you can apply on Plum.

Level's read on this job

  • On Level's scale, this AI engineer role is Builds AI ●●●●: the job is building AI systems.
  • Tools and skills the posting cites include prompt engineering, RAG and AI agents.
  • Level classifies it as a lead role.
  • Level lists 12 other open roles at Plum.
  • The role was posted in the last few days.

AI in this role

prompt-engineeringragai-agentsfine-tuning

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. Whether you're stashing the cash for tea and toast in your first home or catching some rays during retirement, we've got your back.

Since 2016, millions of people across 10 European markets have set aside more than £10 billion with Plum. But what we're most excited about is what comes next and the opportunity for our people to help shape it.

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. By combining AI-driven financial guidance with the products people actually need, we're building a solution for everyone, not just the wealthy few.

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 (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. 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 (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

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: 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
  • 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

Plum Perks

  • We're all in this together! 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 (think 🦄🌈💯)

If this sounds like you, we’d love to hear from you!

Thanks,

Team Plum 💜

* Plum is an Equal Opportunity Employer. Plum does not discriminate on the basis of age, race, religion, sex, gender identity, sexual orientation, non-disqualifying physical or mental disability, national origin or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit and business need.

How we rate this

Staff AI Engineer at Plum rates 93 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Prompt engineeringRAGAI agentsFine-tuning

Also common in AI engineer jobs at this level

Pay

Typical AI engineer job
$184k

This posting doesn't list pay. Use the typical AI engineer figure when pay comes up. See AI engineer jobs

Questions you could be asked

  1. How do you structure and test a prompt to get consistent output from a language model?
  2. How would you design a retrieval step so the model answers from real data instead of guessing?
  3. How do you decide when an AI agent can act on its own versus asking for approval first?
  4. Walk me through fine-tuning a model: what data did you use, and how did you check the result?
  5. How would you decide a model or AI system is ready to ship?

Adapt your resume

  • List these exact terms on your resume: Prompt engineering, RAG, AI agents, and Fine-tuning. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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