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Senior Software Engineer - AML

Requirements

  • Have solid, demonstrable full-stack engineering experience — you're comfortable building both user-facing interfaces and the back-end services that power them, and you write clean, testable, well-structured code across both.
  • Can own the technical roadmap and deliverables of your projects — you drive work forward with a predictable cadence, manage complexity and ambiguity independently, and proactively address technical debt before it becomes a blocker.
  • Give strong, informed feedback on product decisions — you always ask why something is being built, and you're able to connect your technical work back to the outcomes it drives for agents and customers.
  • Take a leading role in incident resolution — you step up during both minor and major incidents, own the post-incident process, and work to prevent recurrence.
  • Design systems with the long term in mind — you make architectural decisions that allow for easy iteration and scaling, and you hold yourself accountable for the availability, reliability, and security of what you build.
  • Are confident working with APIs, event-driven architectures, and relational databases on the back end, while also being able to craft polished, efficient user interfaces on the front end.
  • Actively mentor and support other engineers on the team, helping reduce single points of failure and contributing to a culture of shared ownership and continuous improvement.
  • Are a confident contributor to cross-team engineering efforts — you bring best practices from across the industry, participate in broader engineering guilds or forums, and help raise the bar for the whole team.

Nice to Haves

  • Have experience building internal tooling or back-office systems used by operational teams.
  • Have worked in a regulated environment (financial services, compliance, or trust & safety) and understand the importance of audit trails, data security, and correctness.
  • Are familiar with LLM integration patterns or have experience working with GenAI-powered product features.

What You'll Be Doing

  • Build and improve investigative workflows end-to-end — Owning features from back-end data services through to the front-end interfaces agents use, with the goal of meaningfully reducing case handling time and improving decision quality.
  • Integrate GenAI capabilities into agent tooling — We're actively embedding LLM-powered features directly into our investigative flows. You'll help build the pipelines, APIs, and interfaces that make these features reliable and trustworthy.
  • Drive UX improvements across our investigative suite — Identifying and eliminating repetitive, redundant agent actions; improving how different systems integrate with each other; and pre-filling data intelligently by connecting front-end experiences to existing back-end data sources.
  • Build and maintain back-end services — Contributing to the services that power case management, agent queues, automation logic, and data flows — ensuring they are reliable, observable, and scalable as our operations grow.
  • Contribute to access control and security improvements — Helping ensure agents only see the customer data relevant to their active case assignment, closing a high-priority security vulnerability that protects both our customers and the integrity of our investigations.
  • Instrument and analyse agent behaviour — Building front-end analytics and back-end data models that allow us to identify bottlenecks, measure the impact of our work, and prioritise improvements with confidence.
  • Contribute to platform campaigns and tech health — Participating in company-wide engineering initiatives such as framework upgrades, service migrations, and on-call vendor transitions, keeping our systems reliable and secure.

Perks and Benefits

  • Your work has direct, measurable impact on financial crime prevention — the tooling you build helps investigators catch money laundering, protect vulnerable customers, and meet regulatory requirements across 20+ jurisdictions.
  • We are actively investing in GenAI-augmented investigation flows — this is one of the team's biggest strategic bets for 2026, and you'll be at the centre of it.
  • The team is maturing quickly, with a growing balance of back-end and front-end expertise, and there is real opportunity to shape both how we build and what we build.
  • We're actively growing our front-end capacity to support significant back-office work ahead, meaning your impact and influence will be felt from day one.
AI Summary ✨
Wise logo

Wise

Tallinn, Estonia

Experience: Senior
Posted: June 19, 2026
Last seen: an hour ago
fullstack

Why we track Wise

Wise (formerly TransferWise) is a London-based fintech that built international money transfers from scratch. They have major engineering hubs in Tallinn, London, and Budapest. The engineering challenges around real-time payments, compliance, and multi-currency infrastructure are technically deep.

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