AI Application Engineer I

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Company

Company stage

Growth-stage From the posting source checked Jun 20, 2026

Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

AI Application Engineer I Lisbon, Estremadura, Portugal Your opportunity At Mollie, we're on a mission to make payments and money management effortless for every business in Europe. Today, we serve more than 300,000 businesses across Europe with an all-in-one solution that simplifies payments and money management. And we're a 850-strong team of product, finance, support, commerce, and engineering specialists working across Europe - from Lisbon to London. In this role, you will help design, build, integrate, and scale AI-powered applications and workflows that create direct impact across the business. You will work closely with Machine Learning Engineers as well as with Application Engineers across different Domains and Teams, to deliver pragmatic agentic AI solutions for both internal users and Mollie customers. The focus of the role is not model research or training deep learning systems from scratch. Instead, your core focus will be on these application-level activities. This role is a strong fit for a flexible engineer who views Artificial Intelligence as a tool, not a replacement, and who is capable of learning in a rapidly changing environment. What you will be doing: - Develop agent-based and workflow-driven solutions with modern AI orchestration tools, across both low-code and code-first approaches - Design and develop SDKs, reusable frameworks, and internal toolkits that enable teams to rapidly build and deploy agentic AI solutions - Use and extend open-source AI tooling such as LibreChat, LiteLLM, browser-based automation tools, and related components - Build and customise the frontend interfaces of AI-powered tools and platforms,

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