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 environment with opportunities for professional growth.
- Why this job: Join a high-impact role with ownership in an AI-first environment.
- Qualifications: Strong Python experience and knowledge of LLMs and cloud platforms.
The predicted salary is between 50000 - 65000 € 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 technology business in Cardiff that prioritises innovation and growth in AI-driven product development. As an AI Engineer, you'll enjoy a collaborative work culture that fosters creativity and hands-on engineering, with opportunities for professional development and the chance to make a significant impact on cutting-edge projects. With a modern tech stack, fully remote flexibility, and a commitment to long-term investment in AI, this role offers a unique opportunity to shape the future of intelligent automation.
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 AI field, especially those working at companies you're interested in. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving Python and LLMs. Having tangible examples of your work can really impress potential employers and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and cloud knowledge. Practice coding challenges and be ready to discuss your experience with APIs and distributed systems. Confidence in your skills can make all the difference!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to show your enthusiasm for joining a company that’s all about cutting-edge AI development.
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 achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re passionate about AI and how your hands-on experience can contribute to our mission. Keep it engaging and relevant to the job description.
Showcase Your Projects:If you've worked on any AI applications or cloud-native services, make sure to mention them! We love seeing real-world examples of your work, especially those that demonstrate your ability to build and deploy scalable systems.
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’re considered for this exciting opportunity in Cardiff!
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 other technologies 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 specific projects where you've built and deployed AI applications. Highlight your experience with agentic workflows and RAG pipelines, and be ready to explain how your contributions made a real impact.
✨Understand the Business Impact
This role is all about delivering commercial value through AI. Be prepared to talk about how your engineering decisions can improve user experience and decision-making in a fast-paced environment.
✨Ask Insightful Questions
Demonstrate your interest in the company by asking questions about their AI strategy and future projects. This shows that you’re not just looking for any job, but are genuinely interested in contributing to their vision.
