At a Glance
- Tasks: Design and maintain scalable AI pipelines for real-world applications.
- Company: Join a growing SaaS business focused on innovative AI solutions.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Fast-paced environment with a focus on cutting-edge technology.
- Why this job: Make an impact by building reliable AI systems that users depend on.
- Qualifications: Strong Python skills and experience with LLM-powered systems required.
The predicted salary is between 50000 - 70000 £ per year.
We’re hiring an AI Engineer to join a growing SaaS business building production-grade AI systems powered by LLMs.
This is a hands-on engineering role focused on designing and maintaining scalable AI pipelines. You’ll work on real-world applications including document ingestion, RAG architectures, async workflows, structured outputs, and LLM orchestration in production environments.
What we’re looking for:
- Strong Python backend engineering skills
- Experience shipping production LLM-powered systems
- Hands-on with RAG, prompt engineering, and evaluation frameworks
- Experience with OpenAI, Anthropic, or similar APIs
- Comfortable owning systems end-to-end in a fast-moving environment
Tech stack includes Azure, LLM pipelines, vector search, async processing, and API-first architecture.
If you’ve built AI systems that real users rely on and care about reliability as much as capability, apply within or contact Jake Carrington for a confidential chat.
Locations
AI Engineer in Guildford, Surrey employer: Eden Smith Group
Join a dynamic SaaS company in Guildford, where innovation meets collaboration. As an AI Engineer, you'll thrive in a supportive work culture that prioritises employee growth and offers opportunities to work on cutting-edge AI technologies. Enjoy the flexibility of a hybrid role while contributing to impactful projects that shape the future of AI systems.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer in Guildford, Surrey
✨Tip Number 1
Network like a pro! Reach out to folks in the AI space, especially those who work with LLMs. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and LLM systems. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of RAG architectures and async workflows. Practise coding challenges related to these topics to impress during the interview.
✨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 take the initiative to connect directly.
We think you need these skills to ace AI Engineer in Guildford, Surrey
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your strong Python backend engineering skills and any experience you have with LLM-powered systems. We want to see how you've tackled real-world applications, so don’t hold back!
Tailor Your Application:Take a moment to customise your application for the AI Engineer role. Mention specific projects where you've worked with RAG, prompt engineering, or any relevant APIs like OpenAI. This helps us see how you fit into our team.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid jargon unless it’s necessary. Let us know what you can bring to the table in a way that’s easy to understand.
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 the role. Plus, it’s super easy!
How to prepare for a job interview at Eden Smith Group
✨Know Your Tech Stack
Familiarise yourself with the tech stack mentioned in the job description, especially Azure and LLM pipelines. Be ready to discuss how you've used these technologies in your previous projects and how they can be applied to the role.
✨Showcase Your Projects
Prepare to talk about specific AI systems you've built, particularly those that are production-grade. Highlight your experience with RAG architectures and prompt engineering, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Problem-Solving Skills
Think of examples where you've had to troubleshoot or optimise AI pipelines. Discuss your approach to problem-solving and how you ensure reliability in your systems, as this is crucial for the role.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's current projects and future goals. This shows your genuine interest in the role and helps you understand how you can contribute to their success.
