Engineering Lead - Support Squad (Wise Assistant Platform)

Job description

The 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

Qualifications

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).