Flatpay

FinTech

Frontend-FocusedAIEngineer

$400–550k ~AI est. Herlev, Denmark FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Frontend-Focused AI Engineer at Flatpay. Skills: Frontend development, AI applications, Python, Data science. Create user-facing internal applications. Shape reusable frontend components”

What You'll Achieve.

Turn data and AI into measurable business value; Build AI-driven internal applications; Enhance sales engine; Enhance operational engine; Build AI application that real people use; Ship AI and data applications that create real impact; Build features that help colleagues make decisions; Build features that help colleagues act on insights; Build features that help colleagues improve workflows

Industry & Context.

FinTech
Problems you'll solve

Turning unclear problems into practical solutions

What They're Looking For.

Must Have

2–4 years of experience in a technical role, Experience with React, Experience with TypeScript, Experience with Tailwind CSS, Solid foundation in Python, Comfortable working with SQL, Comfortable working with structured data, Hands-on experience with data science or machine learning problems

Nice to Have

FastAPI or similar Python backend frameworks, Databricks or similar data platforms, Experience with LLMs, Experience with AI assistants, Experience with recommendation systems, Experience with other AI-powered products

What You'll Do.

Create user-facing internal applications

Shape reusable frontend components

Shape a design system

Connect frontend with data

Connect frontend with AI logic

Understand user needs

Understand tool support needs

Collaborate with data engineers

Collaborate with data scientists

Make sure tools are based on solid data

Make sure tools are based on solid model

Contribute to data science tasks

Contribute to analysis

Contribute to experimentation

Contribute to feature development

Contribute to model development

How You'll Work.

Team & Collaboration

Collaborate with data engineers; Collaborate with data scientists; Sparring from a colleague

Communication Scope

Talk to users; Talk to stakeholders

Process & Methodology

Managing own time, Managing own tasks

Full Job Description

About the job You will join a growing AI team of 10 colleagues with a core mission to turn data and AI into measurable business value. Your primary role is to build AI-driven internal applications in a young scaleup. Many of our projects enhance the already extremely efficient sales and operational engine that is Flatpay. For this we are opponents of stand alone notebooks and proponents of interactive applications that drive insights and recommendations, help colleagues take action, give feedback, and write information back into our systems. This role is at the heart of this, and a good fit for someone who enjoys frontend development, has a solid foundation in Python and data, and wants to build AI application that real people actually use. What you'll do Frontend: Create user-facing internal applications using React and JavaScript/TypeScript. Take part in shaping reusable frontend components, UX patterns, and a design system for internal AI applications. Backend: Work with Python, SQL, and APIs to connect the frontend with data and AI logic. Talk to users and stakeholders to understand what they need and how a tool should support their work. Collaborate closely with data engineers and data scientists to make sure tools are based on solid data and model logic. As the role evolves, you may also contribute to data science tasks such as analysis, experimentation, feature development, or model development. The applications will mainly be built in Databricks - Databricks Apps. Who you are You have around 2–4 years of experience in a technical role and are especially interested in frontend development for data and AI products. You have experience with React, TypeScript and Tailwind CSS,. You have a solid foundation in Python. You are comfortable working with SQL and structured data. You have hands-on experience with data science or machine learning problems, such as classification, regression, model evaluation, or LLM-based extraction. This can be from work, studies, inte

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