Engineering Lead - Wise AI Assistant Platform

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Salary

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Senior From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Engineering Lead - Wise AI Assistant Platform Budapest, , Hungary Company Description: 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 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

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