The AI Enablement team sits at the intersection of technology, product, and people — responsible for accelerating Trustly's capacity to build and scale AI-powered capabilities across the organization. The team partners deeply with Engineering, Product, Data, and Operations to identify high-leverage opportunities, drive adoption of AI tooling, and establish the frameworks that let Trustly move faster and smarter.
ABOUT THE ROLEAs a Staff AI Enablement Engineer, you'll be one of the most technically influential individual contributors at Trustly — part of the special forces team bringing agentic workflows and the productivity gains they unlock to every function in the company. Your users aren't just engineers: they're teammates in finance, legal, operations, sales, and beyond, all trying to figure out how to actually work with AI. You'll design and build the internal platforms, evaluation frameworks, and tooling that make it easier and faster for any team at Trustly to adopt agentic ways of working. This is a high-autonomy, high-ownership role for an experienced engineer who loves being in the weeds on hard technical problems and then scaling their solutions across an entire organization.
WHAT YOU'LL DODesign, build, and maintain Trustly's core AI platform — including LLM integration infrastructure, prompt management systems, evaluation pipelines, and agentic workflow tooling.
Partner with product and engineering teams across Trustly to embed AI capabilities into core products: payments, risk decisioning, fraud detection, developer tooling, and customer-facing surfaces.
Establish and own evaluation standards for AI systems — building robust testing frameworks that assess quality, safety, latency, cost, and reliability at scale.
Lead technical discovery and prototyping on high-ambiguity problems: evaluate new foundation models, agentic architectures, and toolchains; produce clear recommendations grounded in data.
Drive internal AI adoption by creating reusable libraries, patterns, documentation, and enablement resources that reduce the barrier for engineering teams to build with AI.
Collaborate with the VP of AI Enablement and cross-functional stakeholders to influence the technical roadmap and represent engineering constraints and opportunities in strategic conversations.
8+ years of software engineering experience, with at least 3 years focused on AI/ML systems, LLM infrastructure, or applied ML in production environments.
Deep hands-on experience building with LLMs and modern AI stacks — including RAG, fine-tuning, prompt engineering, function calling, and multi-step agentic workflows.
Strong software engineering fundamentals: you write clean, production-grade code and design systems that are observable, testable, and maintainable.
Experience operating at Staff+ scope — driving technical decisions that span multiple teams, mentoring other engineers, and leading by influence rather than authority.
Track record of taking AI capabilities from prototype to production in a high-reliability environment — understanding the gap between a demo and something that runs at scale.
Comfortable with ambiguity: you can scope and execute on poorly-defined problems, communicate tradeoffs clearly, and move quickly without sacrificing quality.
Skills Required
- 8+ years of software engineering experience
- At least 3 years focused on AI/ML systems, LLM infrastructure, or applied ML in production
- Hands-on experience building with LLMs and modern AI stacks including RAG, fine-tuning, prompt engineering, function calling, and multi-step agentic workflows
- Strong software engineering fundamentals: production-grade code and systems that are observable, testable, and maintainable
- Experience operating at Staff+ scope: driving cross-team technical decisions, mentoring engineers, and leading by influence
- Proven track record of taking AI capabilities from prototype to production in high-reliability environments
- Ability to scope and execute ambiguous, poorly-defined problems and communicate tradeoffs clearly
Trustly Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Trustly and has not been reviewed or approved by Trustly.
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Parental & Family Support — Gender‑neutral paid parental leave in North America is positioned as a strong part of the package. The offering is presented as a meaningful support for families.
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Leave & Time Off Breadth — Generous PTO is consistently highlighted across U.S. benefit descriptions. Time off availability is portrayed as a notable component of the total package.
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Equity Value & Accessibility — Equity and stock programs, including equity grants and in some cases an ESPP, are emphasized as part of total rewards. These elements are described as lifting overall compensation perceptions when base‑pay views vary.
Trustly Insights
What We Do
At Trustly, we envision a world in which online payments are fast, simple and secure for everyone — merchants, consumers and banks alike. One hundred years ago, cash was king. People got paid in cash, carried it in their wallets, and bought things with it at the local store. Payment was easy. Oh, how the times have changed. Today, our salaries are deposited straight into our bank accounts and we shop online, from merchants all around the world. So why is it so hard to pay straight from our bank accounts? For consumers, paying online should be as easy as sliding a bill across the counter. And accepting payments and issuing refunds should be the least of merchants’ worries. Credit cards, debit cards, e-wallets, invoices and cash-on-delivery are all middlemen levying fees, debt and interest for the simple task of moving money from one person to another. At Trustly, we work hard to make online payments easy.
Why Work With Us
At Trustly, we work hard to make online payments easy. We’re dynamic, not stuffy. We’ve got the drive and ambition of a startup and the experience and advantage of a scale-up, all wrapped up in one amazing team. The pace is fast, and change is frequent. We prioritize agility to adapt to whatever tomorrow brings.
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