At a Glance
- Tasks: Design and build a scalable AI platform that empowers engineering teams.
- Company: Join Plum, a leading smart saving and investing app with over 2 million users.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Be part of a passionate team driving innovation across Europe.
- Why this job: Make a real impact in the AI space while working with cutting-edge technology.
- Qualifications: 5+ years in software or backend engineering with AI experience.
The predicted salary is between 60000 - 80000 £ per year.
Hey!
We’re Plum, your smart saving and investing app on a mission to help grow money for life.
Whether you’re stashing the cash for tea and toast in your first home or catching some rays during retirement, Plum’s got your back.
Since 2016, over 2 million people in 10 European markets have set aside more than £2 billion with our clever automation and AI –that’s the magic of Plum!
As recognition for our work, we’ve received awards from the likes of Deloitte, Finder, and more.
That’s all down to our passionate team of 200+ Plumsters, who work around Europe to help us achieve our mission.
And now we’re looking for more brilliant people to join us on our journey.
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 are we 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), Lang Chain, Lang Graph, Crew AI, 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.
Previous experience working within a Platform Engineering team is a strong plus.
Key responsibilities: Design, build, and maintain a robust, scalable, and cost-effective AI Platform that supports AI initiatives across the organization.
Develop and maintain internal frameworks, libraries, and services used by multiple product squads.
Establish and promote best practices around prompt engineering, AI guardrails, and AI evaluation methodologies.
Build platform capabilities that enable teams to safely deploy, monitor, and iterate on AI-powered applications.
Configure and maintain tracing, monitoring, observability, and incident management solutions to ensure platform reliability.
Partner closely with product and engineering teams to understand their needs and provide scalable platform solutions.
Continuously improve developer experience and platform adoption across the organization.
Tech
Stack: Backend Python Fast API Agent Development Kit (ADK) Datastores Postgre SQL Big Query Firestore Infrastructure Google Cloud Platform (GCP) Rabbit MQ Terraform Monitoring
