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 will join: Wise Assistant
We're building Wise Assistant, a conversational AI that will become a central interface for managing money on Wise. This is a super visible and highly ambitious AI project
The team is at the forefront of applied AI at Wise. We already automate 40% of customer support chats with LLMs, and we're pushing further: voice automation, agentic AI and becoming the conversational operating system at Wise. Part product, part R&D, always production-grade at scale.
This role is a rare opportunity:
Production AI at scale: Not a PoC, not an experiment. Real LLM systems serving millions of customers, with real stakes.
R&D with impact. You'll read papers, prototype new approaches, and ship them to production. The team is pushing the frontier of what's possible with AI in fintech.
- In Budapest. One of very few opportunities to lead large-scale AI engineering locally.
You will:
Lead a small, senior engineering team building production LLM systems
Shape the technical vision for AI at Wise: architecture, evaluation, and how we integrate the latest research into production
Partner closely with embedded Data Science, PM, Analyst and Prompt Engineering functions
Stay close to the latest tech (expect hands-on work on system design and architecture)
Be a thought leader on AI engineering at Wise
You bring:
2+ years leading engineering teams, ideally including senior engineers
Strong, hands-on technical experience in OOP Languages (Java) and modern technology stacks on technologies such as REST APIs, microservices, distributed systems and CI/CD pipelines - you will have to complete technical interviews to showcase your knowledge.
Solid understanding of LLM engineering: RAG architectures, vector databases & embeddings, prompt/context engineering, orchestration patterns, tool use, evaluation methods and guardrails/safety approaches.
Passion for AI: you follow the space, and want to push boundaries on a production system at scale
Excellent collaboration skills across functions and teams
Bonus: TypeScript, deeper AI fundamental (eg. transformer architectures, fine tuning, etc).
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
- 2+ years leading engineering teams
- Strong hands-on technical experience in OOP Languages (Java)
- Experience with REST APIs, microservices, distributed systems, CI/CD
- Solid understanding of LLM engineering concepts
- Excellent collaboration skills across functions and teams
- Bonus: TypeScript, deeper AI fundamentals
What the Team is Saying
.png)
.png)
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.
