Senior AI/ML 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. 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:

As part of the AI Platform team, you will play a key role in building the foundational infrastructure, frameworks, and tooling that enable AI-powered products and capabilities across the organization. This role requires a high degree of autonomy and ownership, as you'll be responsible for designing scalable solutions that empower multiple engineering teams while ensuring reliability, observability, and cost efficiency.

What We're Looking For

•5+ years of experience in Software Engineering, Backend Engineering, or Platform Engineering.

•Strong experience building and maintaining backend systems and distributed services in production environments.

•Experience designing developer platforms, internal tooling, shared services, or infrastructure that supports multiple engineering teams.

•Hands-on experience building AI-powered applications and services using modern LLM frameworks and agentic architectures.

•Good understanding of modern AI concepts and practices, including:

•Large Language Models (LLMs)

•Retrieval-Augmented Generation (RAG)

•Prompt Engineering

•AI Guardrails

•AI Evaluation Frameworks

•Experience with AI frameworks such as Agent Development Kit (ADK), LangChain, LangGraph, CrewAI, or similar.

•Experience working with cloud platforms such as Google Cloud Platform (preferred), AWS, or Azure.

•Strong understanding of system reliability, observability, monitoring, and incident management.

•Experience with Infrastructure as Code and cloud-native architectures. …

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