At a Glance
- Tasks: Design and maintain scalable AI pipelines for real-world applications.
- Company: Join a growing SaaS business focused on innovative AI systems.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Exciting projects with a dynamic team near Guildford.
- Why this job: Be at the forefront of AI technology and make a tangible impact.
- Qualifications: Experience in AI engineering and knowledge of LLMs required.
The predicted salary is between 50000 - 65000 £ per year.
Eden Smith Group is hiring an AI Engineer to join a growing SaaS business focused on building production-grade AI systems powered by LLMs. This hands-on engineering role involves designing and maintaining scalable AI pipelines and working on real-world applications including document ingestion, RAG architectures, and API-first architecture. The position is hybrid, based near Guildford, UK.
Production AI Engineer — LLM Pipelines & RAG (Hybrid UK) in Guildford employer: Eden Smith Group
Eden Smith Group is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration in the rapidly evolving field of AI. With a strong focus on employee growth, the company provides ample opportunities for professional development and hands-on experience with cutting-edge technologies. Located near Guildford, the hybrid work model allows for a balanced lifestyle while being part of a forward-thinking team dedicated to building impactful AI solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Production AI Engineer — LLM Pipelines & RAG (Hybrid UK) in Guildford
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech space, especially those who work with LLMs. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to AI pipelines and RAG architectures. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of scalable AI systems and API-first architecture. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨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 are proactive about their job search!
We think you need these skills to ace Production AI Engineer — LLM Pipelines & RAG (Hybrid UK) in Guildford
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant experience in AI engineering and LLM pipelines. We want to see how your skills align with the role, so don’t be shy about showcasing your hands-on projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re passionate about building production-grade AI systems and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Technical Skills:In your application, be sure to mention specific technologies and methodologies you’ve worked with, especially around scalable AI pipelines and RAG architectures. We love seeing concrete examples of your work!
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 LLMs
Make sure you brush up on your knowledge of large language models (LLMs) and their applications. Be ready to discuss how you've worked with LLMs in the past, particularly in building scalable AI systems. This will show that you're not just familiar with the theory but have practical experience too.
✨Showcase Your Pipeline Skills
Prepare to talk about your experience with designing and maintaining AI pipelines. Bring examples of projects where you've implemented document ingestion or RAG architectures. Being able to articulate your hands-on experience will set you apart from other candidates.
✨API-First Mindset
Since the role involves API-first architecture, be ready to discuss your understanding of this approach. Think about how you've integrated APIs in previous projects and be prepared to share specific challenges you faced and how you overcame them.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's current projects, team dynamics, and future goals. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you.
