Wise is a global technology company, building the best way to move and manage the world’s money.
Min fees. Max ease. Full speed.
Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.
As part of our team, you will be helping us create an entirely new network for the world's money.
For everyone, everywhere.
More about our mission and what we offer.
Job DescriptionThe team you'll be working with: Generative AI Platform
About the role:
For our customers, using Wise is as simple as sending money from A to B. Yet behind our app and website is a complex engine of currencies, routes, products and features, generating terabytes of data each day.
The Data Products and Insights squad is at the core of systems that store, process, and leverage data, machine learning models, and generative AI capabilities. Ultimately, this provides real-time insights and innovative ML and AI driven solutions that serve as key drivers for business growth.
Your mission and role will be building and maintaining a platform that enables everyone at Wise to rapidly experiment and bring to production Generative AI based systems, providing tooling, guidance and guardrails so that teams can ensure the safety of our customers and their data.
How we work
We operate with a belief in automation, programmatic implementation, and reusable design. We’re looking for people who can step back and think holistically about the ecosystem, but also follow through and help implement the design; drawing on the resources across the rest of the Platform Tribe.
As we grow, it is imperative to protect our customers’ money and navigate complex regulatory requirements world-wide. You will have a focus on running and maintaining services and libraries, making sure we have the right observability and service management elements in place.
We need to sustain this growth by continuously iterating on the services we run, with a focus on availability, security, and ease of use. We’re looking for an engineer with relevant experience who can understand and respond to complex requirements and deliver simple solutions to help our teams achieve our mission with speed and confidence.
What does it take?
Great communication skills and the ability to build consensus - you’re comfortable making a case for what you believe we should be doing
Experience being a self-starter, self-motivated and collaborative
The mindset to solve problems from scratch
Willingness to give and take regular feedback - regular feedback is part of our culture
What do you need?
We are fully aware that it is uncommon for a candidate to have all skills required and we fully support everyone in learning new skills with us. We value potential and enthusiasm as much as existing expertise. So if you have some of those listed below and are eager to learn more we do want to hear from you!
You have at least 4 years of engineering background in Python with years of experience putting solutions into production and maintaining them
You have high coding standards - understanding of test coverage best practices & the test pyramid concept, and you are well versed in writing effective, scalable and clean code
You have experience deploying microservices to cloud based systems
You have experience designing and implementing distributed and concurrent systems, knowing the tradeoffs between stateful/stateless and synchronous/asynchronous architecture
You have knowledge and experience with LLMs and building LLM based applications
Experience with agentic frameworks and designing agentic-based workflows
You have experience working with product teams helping to build out their ideas in production
You stay on top of the latest developments and trends in the AI industry
You know Prompt Engineering best practices
You have the ability to take initiative while working collaboratively - identify problems, empathise with stakeholders and collaborators, create plans and implement solutions.
You are a great communicator with the ability to clearly relay your plans back to the team, mentor junior engineers and seek out feedback for yourself
The customer is at the heart of everything you do and this empathy drives the decisions you make
Nice to haves:
You have a solid engineering background in Typescript/Javascript, and have worked building performant UI’s and/or using TS/JS AI frameworks
Passionate about technology and its relationship with product and user experience
Ability to articulate complex and technical concepts to non-technical audiences
Experience with Terraform, GitHub Actions, Infrastructure as Code, AWS or other cloud ecosystems
Experience with Docker and Kubernetes and running containerized workloads
Knowledge of Semantic Search and RAG based workflows
Knowledge or experience with MCP servers
Knowledge/interest in payment platforms, foreign exchange & complex systems architecture
Be a customer of Wise
What you get back:
The opportunity to create meaningful change for our customers and team
Loads of development opportunities
Work with a team of passionate Engineers who love improving the lives of our fellow Wisers
A fun work environment with social activities and events
For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.
We're proud to have a truly international team, and we celebrate our differences.
Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.
If you want to find out more about what it's like to work at Wise visit Wise.Jobs.
Keep up to date with life at Wise by following us on LinkedIn and Instagram.
Skills Required
- At least 4 years engineering background in Python with production and maintenance experience
- High coding standards and understanding of test coverage best practices and the test pyramid
- Experience deploying microservices to cloud-based systems
- Experience designing and implementing distributed and concurrent systems
- Knowledge and experience with LLMs and building LLM-based applications
- Experience with agentic frameworks and designing agentic-based workflows
- Experience working with product teams to build ideas into production
- Knowledge of Prompt Engineering best practices
- Great communication skills and ability to build consensus
- Self-starter, self-motivated and collaborative
- Problem-solving mindset; ability to design solutions from scratch
- Willingness to give and receive regular feedback
- Customer empathy and customer-centric decision making
- Typescript or JavaScript experience and building performant UIs
- Terraform, Infrastructure as Code, GitHub Actions experience
- Experience with AWS or other cloud ecosystems
- Experience with Docker and Kubernetes and running containerized workloads
- Knowledge of Semantic Search and RAG-based workflows
- Knowledge or experience with MCP servers
- Knowledge/interest in payment platforms, foreign exchange and complex systems architecture
- Ability to articulate complex technical concepts to non-technical audiences
- Being a customer of Wise
Wise Compensation & Benefits Highlights
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Leave & Time Off Breadth — Global minimum of 33 paid days off (36 in U.S. hubs) plus a 6‑week paid sabbatical every four years and extras like volunteer or “Me” days indicate substantial time‑off depth.
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Parental & Family Support — A global minimum of 18 weeks fully paid parental leave for birth or adoption after one year, along with adoption and fertility support, underscores robust family support.
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Flexible Benefits — Work‑from‑anywhere up to 90 days per year after six months and flexible working principles provide notable geographic mobility and scheduling latitude.
Wise Insights
What We Do
Wise is a global technology company, building the best way to move and manage the world's money. With Wise Account and Wise Business, people and businesses can hold 40 currencies, move money between countries and spend money abroad. Large companies and banks use Wise technology too; an entirely new network for the world's money. Launched in 2011, Wise is one of the world’s fastest growing, profitable tech companies. In fiscal year 2025, Wise supported around 15.6 million people and businesses, processing over $185 billion in cross-border transactions and saving customers around $2.6 billion.
Why Work With Us
We’re truly global in who we are, how we work, and how we build. Everything we do is centred around creating a world of money that’s fast, easy, fair. And open to all. Everyone who works here owns a piece of Wise, from the work they do, to the stock they hold.
Gallery
Wise Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
We expect new joiners in the office most days to build connections and learn from colleagues for their first six months. After that, most Wisers split their working week between the office and home, typically coming in at least 12 times a month.




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