Senior Full-Stack Engineer – Python & AI

Nuxt; Amstelveen; Hybrid; EUR 85,000 - 110,000; Full time

Job summary

Nuxt is seeking a high-agency Full-Stack Engineer to bridge traditional software development with AI implementations. You will architect solutions combining Python APIs, modern web frameworks, and low-code automation to drive efficiency for internal processes and clients.

Collaborate closely with Engineering leadership to shape technical strategy, translate business needs into scalable code, and mentor junior teammates across multiple projects.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related quantitative discipline.
• 3+ years of relevant professional experience.
• Strong familiarity with Python and TypeScript.
• Experience with AI/ML tooling and API development is a plus.

Responsibilities

• Full-Stack Development: Work on feature development across our APIs and web platforms (Python, Nuxt).
• AI Implementation: Apply AI technology to real-world applications, driving AI adoption for clients ranging from SMBs to large Enterprises.
• Architectural Thinking: Translate abstract business requirements into clean, scalable code and logic.
• Process Automation: Identify and implement low-code automation and process optimization solutions for internal projects (n8n, OpenAI).
• Guide: Support the growth of more junior colleagues in the team and orchestrate projects across multiple developers and stakeholders
• Collaborate: Work closely (daily) with the Engineering leadership to iterate on products and strategy.

Skills

Python

TypeScript

APIs

AI integration

DevOps/MLOps

Dutch language

Education

Bachelor’s degree in Computer Science, Engineering, or related quantitative discipline

Tools

n8n

OpenAI

Cursor

Claude Code

Job description

Nuxt is seeking a high-agency Full-Stack Engineer to bridge traditional software development with AI implementations. You will architect solutions combining Python APIs, modern web frameworks, and low-code automation to drive efficiency for internal processes and clients.

Collaborate closely with Engineering leadership to shape technical strategy, translate business needs into scalable code, and mentor junior teammates across multiple projects.