Senior Software Engineer - Contact Automation - AI

Posted Yesterday
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Budapest, HUN
Hybrid
Senior level
Fintech • Mobile • Payments • Software • Financial Services
Wise is one of the fastest growing fintechs in the world and we’re on a mission to make money without borders a new norm
The Role
Lead the design, development, and deployment of scalable AI-powered customer support automation. Build Java microservices using Kafka, contribute to TypeScript and Python systems, develop intent detection and routing pipelines, integrate LLM and AI agent solutions through AWS Bedrock, optimize platform reliability and performance, collaborate on conversational experiences, and mentor engineers.
Summary Generated by Built In
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

About the Role
As a Senior Software Engineer in the Contact Automation team, you will play a pivotal role in shaping the future of customer support at Wise. You'll be a key technical leader in an autonomous team, driving the vision and end-to-end solutions for the Wise Assistant. This is a high-impact role where you'll tackle complex engineering challenges to automate real customer issues, significantly improving their experience and our operational efficiency.

How We Work

  • Agile & Collaborative: We operate in an agile fashion, fostering close collaboration between engineers, product managers, content designers, analysts, and data scientists.
  • Cross-Functional Teams: You'll work alongside talented individuals to design, build, and iterate on solutions that deliver tangible customer value.
  • International Presence: Our team is distributed across our Budapest, New York and London offices, offering a diverse and dynamic working environment.

What You'll Be Working On

  • Lead the design, development, and deployment of scalable, resilient, and high-performance components for the Wise Assistant. This includes our core Java microservice consuming Kafka messages, as well as contributing to our Typescript and Python codebases.
  • Take ownership of our intent detection systems, contact processing pipelines, and the routing logic that connects customers to various automation solutions (templates, RAG, LLM workflows, AI agents, Vendor solutions)
  • Innovate with AI: Design and implement solutions leveraging foundational LLM models (AWS Bedrock) to resolve customer queries effectively
  • Integrate & Orchestrate: Lead and manage the technical integration with third-party AI Agent vendors, ensuring seamless and robust connectivity.
  • Scale & Optimize: Continuously improve the performance, reliability, and scalability of our automation platform to handle growing volumes and complexity.
  • Collaborate for Impact: Work closely with content designers to implement and refine automated conversational flows, ensuring a high-quality user experience.
  • Mentor: Provide technical guidance and mentorship to other engineers, fostering a culture of engineering excellence and continuous learning.

Additional Information

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.

What the Team is Saying

Wise Compensation & Benefits Highlights

  • Leave & Time Off Breadth — U.S. materials describe extensive paid leave (PTO, sick time, holidays, “Me Days,” volunteer and compassionate leave) plus a paid six‑week sabbatical after four years. Feedback suggests the time‑off package is a standout element of the offering.
  • Parental & Family Support — Benefits information highlights up to 18 weeks of fully paid parental leave in many locations, with clear tenure qualifiers in some markets. Feedback suggests these policies are robust and a notable strength.
  • Equity Value & Accessibility — Company and job-posting materials indicate RSUs are a regular part of compensation, with a shift toward RSUs since 2022. Feedback suggests the equity component is a relatively substantial part of total rewards.

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The Company
9,000 Employees
Year Founded: 2011

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.

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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.

Typical time on-site: Flexible
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