Senior Engineering Lead - Generative AI Platform

About the Position

Senior Engineering Lead - Generative AI Platform

Tallinn, Estonia

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.

Enter: our Generative AI Platform team! 🎉

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 will be to lead the team 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.

You will guide the sustainable growth of this critical function, leading other engineering leads and having the opportunity to shape multiple teams across AI enablement and controls.

Your input will directly affect how Wise builds and scales Generative AI capabilities across the company, enabling teams to move with speed and confidence while maintaining reliability, security and operational excellence.

Responsibilities

• Lead the team in building and maintaining a platform for Generative AI based systems.
• Provide tooling, guidance, and guardrails to ensure the safety of customers and their data.
• Guide the sustainable growth of the critical function, leading other engineering leads.
• Shape multiple teams across AI enablement and controls.
• Ensure high-availability, assessing and reducing engineering load, and devising more effective ways for the team to look after its cloud-based platform.
• Sustain growth by continuously iterating on the services with a focus on availability, security, and ease of use.

Requirements

• Experienced leader, confident in problem-solving and guiding engineering teams.
• Great communication skills and the ability to build consensus.
• Experience being a self-starter, self-motivated, and collaborative.
• The mindset to solve problems from scratch.
• Comfortable taking ownership of vendor negotiations and explaining costs to the business.
• Willingness to give and take regular feedback.
• Solid engineering background in Python with years of experience putting solutions into production and maintaining them.
• High coding standards - understanding of test coverage best practices & the test pyramid concept.
• 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 helping to build out their ideas in production.
• Stay on top of the latest developments and trends in the AI industry.
• Knowledge of Prompt Engineering best practices.
• Ability to take initiative while working collaboratively.
• Great communicator with the ability to clearly relay plans back to the team, mentor junior engineers, and seek out feedback.
• Empathy towards customers driving the decisions you make.

Nice to Have

• Solid engineering background in Typescript/Javascript, and experience building performant UI’s and/or using TS/JS AI frameworks.
• Familiar with standard Java stack including Spring Boot.
• Passionate about technology and its relationship with product and user experience.
• Ability to articulate complex and technical concepts to non-technical audiences.
• Security and privacy advocate, understanding concepts such as principle of least privilege.
• 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.

We Offer

• Opportunity to work in a global technology company.
• Be part of a mission to make lives easier and save money for people and businesses.
• Join a diverse, equitable, and inclusive team.
• Opportunity to innovate and scale AI capabilities.

About the Company

Wise is a global technology company, building the best way to move and manage the world’s money.

Min fees. Max ease. Full speed.

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.