At a Glance
- Tasks: Build and maintain automated workflows using AI to improve efficiency across the business.
- Company: Join a forward-thinking company at the forefront of AI innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with exposure to multiple business areas and excellent career advancement potential.
- Why this job: Be the first AI Engineer and make a real impact on business processes.
- Qualifications: Experience in building workflows and hands-on use of AI models required.
The predicted salary is between 50000 - 70000 € per year.
I’m working with a business that’s at the early stages of building out its AI capability. This role will operate across the group and will focus on improving efficiency - building workflows, applying AI where it makes sense, and connecting systems so things run more consistently across multiple business areas. You’ll be the first person in this role, reporting into the AI Lead with exposure across multiple areas of the business.
You’ll be:
- Building and maintaining automated workflows using n8n (or similar)
- Applying AI models to process, structure, and classify data and documents
- Evaluating existing AI models and tools to ensure they’re fit for purpose
- Designing and refining prompts to improve output quality, consistency, and safety
- Integrating systems using REST APIs, webhooks, and structured data (JSON)
- Deploying solutions into production, monitoring performance, and iterating based on usage and feedback
- Defining basic evaluation approaches (test cases, metrics) to measure output quality over time
- Documenting workflows, integrations, and decisions for both technical and non-technical stakeholders
You’ll need to have commercial experience building and delivering solutions.
Experience required:
- Experience building automated workflows (n8n, Make, Zapier, Node-RED or similar)
- Hands-on use of AI models (e.g. GPT, Claude, Azure OpenAI) in real-world use cases
- Experience refining prompts and improving the reliability of AI outputs (testing, iteration, guardrails)
- Strong experience working with REST APIs, webhooks, and system integrations
- Solid SQL skills and experience working with structured data (e.g. MSSQL, PostgreSQL)
- Understanding of deploying, monitoring, and improving solutions in a production environment
- Strong communication skills, able to explain technical solutions clearly to non-technical stakeholders
If you’ve built workflows, worked with AI in a real setting, and enjoy solving practical problems, then please apply!
AI Engineer (automation & workflows) employer: Noux Talent
Join a forward-thinking company that is pioneering its AI capabilities, offering you the unique opportunity to shape and enhance automated workflows across various business areas. With a strong emphasis on innovation, collaboration, and employee development, you'll thrive in a supportive work culture that values your contributions and encourages continuous learning. Located in a vibrant area, this role not only provides meaningful work but also the chance to be at the forefront of AI integration, making a significant impact on the organisation's efficiency and effectiveness.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer (automation & workflows)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your automated workflows and AI projects. This is your chance to demonstrate what you can do, so make it visually appealing and easy to navigate.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with REST APIs, SQL, and AI models. Practice explaining complex concepts in simple terms for non-technical folks.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace AI Engineer (automation & workflows)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with automated workflows and AI models. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how your background makes you a perfect fit. We love seeing genuine enthusiasm for what we do.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled real-world problems using AI and automation. We’re looking for practical solutions, so share your success stories with us!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss any important updates from our team!
How to prepare for a job interview at Noux Talent
✨Know Your Tech Inside Out
Make sure you’re well-versed in the tools and technologies mentioned in the job description, like n8n, REST APIs, and SQL. Brush up on your experience with AI models too, as you’ll want to showcase how you’ve applied them in real-world scenarios.
✨Prepare Real-World Examples
Think of specific projects where you built automated workflows or improved AI outputs. Be ready to discuss the challenges you faced, how you overcame them, and the impact your solutions had on efficiency. This will demonstrate your hands-on experience and problem-solving skills.
✨Communicate Clearly
Since you’ll be explaining technical solutions to non-technical stakeholders, practice simplifying complex concepts. Use analogies or straightforward language to convey your ideas effectively. This will show that you can bridge the gap between tech and business.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s current AI initiatives and future plans. This not only shows your interest in the role but also gives you a chance to assess if the company aligns with your career goals. Plus, it opens up a dialogue that can make you more memorable.
