At a Glance
- Tasks: Build and deploy cutting-edge AI applications that make a real impact.
- Company: Fast-growing tech business focused on AI-driven product development.
- Benefits: Fully remote flexibility, strong growth plans, and long-term AI investment.
- Other info: Dynamic team with opportunities to shape the future of AI.
- Why this job: Join a high-impact role with ownership in an AI-first environment.
- Qualifications: Strong Python experience and knowledge of LLM-based applications required.
The predicted salary is between 60000 - 80000 € per year.
We're working with a fast-growing technology business investing heavily in AI-driven product development and intelligent automation. They're looking for an experienced AI Engineer to help build scalable, production-grade AI systems that deliver real commercial impact across their platform. This is not a research role. It's a hands-on engineering position focused on designing, building and deploying AI capabilities into live products used by customers globally.
You'll be working across modern AI tooling, backend engineering and cloud infrastructure to develop intelligent workflows, LLM-powered features and agentic systems that improve automation, decision-making and user experience.
What you'll be doing:
- Building and deploying production AI applications using LLMs
- Designing agentic workflows and multi-step AI pipelines
- Developing scalable backend APIs and cloud-native services
- Creating RAG pipelines, embeddings and AI retrieval systems
- Improving AI reliability through testing, evaluation and guardrails
- Working closely with engineering, product and business teams
- Contributing to architecture decisions and AI best practice
- Helping shape the future direction of AI capability across the business
Tech environment: Python, AWS, APIs, LLMs, RAG, Docker, Kubernetes, microservices, cloud-native architecture and modern AI engineering tooling.
What they're looking for:
- Strong Python backend engineering experience
- Experience building and deploying LLM-based applications
- Good understanding of APIs, distributed systems and cloud platforms
- Hands-on experience with RAG, embeddings and AI orchestration
- Experience with Docker/Kubernetes and modern engineering practices
- Someone comfortable operating in a fast-moving product environment
Nice to have:
- Experience with agentic AI frameworks
- AI evaluation and guardrail implementation
- Fine-tuning or hosting LLMs
- Reinforcement learning or planning systems
- MSc or PhD in a relevant discipline
Why apply?
- Opportunity to work on genuinely cutting-edge AI products
- High-impact engineering role with real ownership
- Modern tech stack and AI-first environment
- Fully remote flexibility
- Strong growth plans and long-term AI investment
If you're interested in building production AI systems rather than just experimenting with them, this is a genuinely strong opportunity to join a business putting AI at the centre of its product strategy.
AI Engineer in Cardiff employer: Yolk Recruitment Ltd
Join a dynamic and innovative technology company that prioritises AI-driven product development and intelligent automation. As an AI Engineer, you'll enjoy a collaborative work culture that fosters creativity and growth, with opportunities to shape the future of AI capabilities while working with cutting-edge technologies. With fully remote flexibility and a strong commitment to employee development, this role offers a unique chance to make a significant impact in a fast-paced environment focused on real-world applications.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer in Cardiff
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups or webinars, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving LLMs and cloud-native applications. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and AWS knowledge. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and solve problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our AI-driven team.
We think you need these skills to ace AI Engineer in Cardiff
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your Python backend engineering experience and any projects involving LLMs. We want to see how your skills align with the role, so don’t be shy about showcasing relevant work!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re passionate about AI and how your experience with cloud platforms and APIs makes you a great fit for our team. Keep it engaging and personal!
Showcase Your Projects:If you've built or deployed any AI applications, make sure to mention them! We love seeing real-world examples of your work, especially if they involve agentic workflows or RAG pipelines.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team!
How to prepare for a job interview at Yolk Recruitment Ltd
✨Know Your Tech Stack
Make sure you’re well-versed in Python, AWS, and the specific AI tools mentioned in the job description. Brush up on your knowledge of LLMs, Docker, and Kubernetes, as these will likely come up during technical discussions.
✨Showcase Your Projects
Prepare to discuss any relevant projects you've worked on, especially those involving AI applications or backend engineering. Be ready to explain your role, the challenges you faced, and how you overcame them to deliver impactful results.
✨Understand the Business Impact
Since this role focuses on delivering commercial impact, think about how your work can contribute to the company's goals. Be prepared to discuss how you can improve automation and user experience through your AI solutions.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s AI strategy and future direction. This shows your genuine interest in the role and helps you gauge if the company aligns with your career aspirations.
