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 environment with opportunities for professional growth.
- Why this job: Join a high-impact role shaping the future of AI technology.
- Qualifications: Strong Python skills and experience with 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 Newport employer: Yolk Recruitment Ltd
Join a dynamic technology business that prioritises innovation and growth in the AI sector, offering a collaborative work culture where your contributions directly impact cutting-edge products. With a strong focus on employee development, you will have access to modern tools and resources, alongside flexible working arrangements that promote a healthy work-life balance. This is an exciting opportunity to be part of a forward-thinking team dedicated to shaping the future of AI technology.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer in Newport
✨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 Python, LLMs, or cloud-native services. 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 coding skills and understanding of AI concepts. Practice common interview questions related to backend engineering and cloud platforms, so you can confidently tackle any challenge thrown your way.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace AI Engineer in Newport
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 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 our fast-growing tech environment!
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 Hands-On Experience
Prepare to discuss specific projects where you've built and deployed AI applications. Be ready to explain your role in designing workflows and APIs, and how your contributions led to real-world impact.
✨Understand the Business Impact
This role is all about delivering commercial value through AI. Think about how your work can improve automation and user experience, and be prepared to share examples of how you've achieved this in past roles.
✨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 a job, but are genuinely interested in contributing to their vision.
