At a Glance
- Tasks: Design and maintain scalable AI pipelines for real-world applications.
- Company: Growing SaaS business focused on innovative AI systems.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Fast-paced environment with a focus on reliability and user impact.
- Why this job: Join a dynamic team and make an impact with cutting-edge AI technology.
- Qualifications: Strong Python skills and experience with LLM-powered systems.
The predicted salary is between 60000 - 80000 £ 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.
AI Engineer in 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 Surrey
✨Tip Number 1
Network like a pro! Reach out to folks in the AI space, especially those who work at companies you're interested in. A friendly chat can open doors and give you insider info on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and production systems. This will help you stand out and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python skills and understanding of AI pipelines. Practice coding challenges and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, you might just catch the eye of someone looking for your specific skill set.
We think you need these skills to ace AI Engineer in 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 or experiences that align with our tech stack, like Azure or async processing. This shows us you’re genuinely interested in joining our team.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate straightforward communication, so make sure your passion for AI and your relevant experience shine through without unnecessary fluff.
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
Expect technical questions that assess your problem-solving abilities. Think of scenarios where you had to troubleshoot or optimise an AI pipeline, and be prepared to walk through your thought process step-by-step.
✨Ask Insightful Questions
At the end of the interview, ask questions that show your interest in the company's projects and future direction. Inquire about their approach to maintaining reliability in AI systems and how they envision the evolution of their tech stack.
