Senior Engineering Lead, Generative AI Platform

Wise

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Tallinn, Estonia
Posted
92 days ago
Freshness
Confirmed live yesterday
Closes
Jun 18, 2126

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Salary context

How this pay compares to similar roles

Similar $209k
$163k most similar roles pay here $261k

This listing doesn't post a salary. Most similar roles pay $172,100–$246,150.

Based on 240 similar postings.

Employer

About Wise

Wise (formerly TransferWise) is a global technology company specializing in international money transfers and multi-currency accounts, offering transparent low-cost foreign exchange for individuals and businesses. Industry: Financial Technology & International Payments

Wise currently has 45 open roles on FindRole.

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At a glance

TL;DR · Senior Engineering Lead, Generative AI Platform

As a Senior Engineering Lead - Generative AI Platform, you will join the Data Products and Insights squad to build and maintain a platform that enables internal teams to rapidly experiment with and deploy generative AI systems. You will lead other engineering leads while shaping multiple teams across AI enablement and controls to ensure safety, reliability, and security for customer data. Your daily work involves managing cloud-based services, ensuring high availability, and providing tools and guardrails for large-scale production environments. The role requires expertise in Python, LLMs, agentic frameworks, and prompt engineering, alongside experience with distributed systems and microservices. You will navigate complex requirements to deliver scalable solutions while overseeing vendor negotiations. This work addresses the challenge of integrating advanced AI capabilities into a high-volume environment involving complex currency data and international payment processing.

What you'll do

  • Lead the development and maintenance of a platform for experimenting with and deploying Generative AI systems.
  • Provide tooling, guidance, and safety guardrails for internal teams using LLMs and agentic frameworks.
  • Manage the sustainable growth of the AI enablement function by leading other engineering leads and shaping multiple teams.
  • Ensure high availability, security, and observability for cloud-based services and libraries.
  • Develop scalable Python-based microservices and distributed systems to support production environments.
  • Negotiate with vendors and communicate infrastructure costs to the business.
  • Mentor junior engineers and translate complex technical concepts for non-technical stakeholders.

What we're looking for

  • You have a solid engineering background in Python with years of experience putting solutions into production and maintaining them.
  • You have high coding standards, including an understanding of test coverage best practices and the test pyramid concept.
  • You have experience deploying microservices to cloud-based systems.
  • You have experience designing and implementing distributed and concurrent systems.
  • You have knowledge and experience with LLMs and building LLM-based applications.
  • You have experience with agentic frameworks and designing agentic-based workflows.
  • You are an experienced leader capable of guiding engineering teams through complex project delivery using agile and traditional methodologies.
  • You possess strong communication skills to build consensus, mentor junior engineers, and explain technical concepts to non-technical audiences.

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