At a Glance
- Tasks: Design scalable AI applications and develop RAG pipelines for innovative projects.
- Company: Fast-growing AI consultancy based in London with a focus on cutting-edge technology.
- Benefits: Competitive salary, bonuses, and a strong commitment to employee development.
- Other info: Exciting opportunities for growth in a collaborative environment.
- Why this job: Join a dynamic team and work on enterprise-scale AI solutions that make a difference.
- Qualifications: Hands-on experience with LLM APIs and cloud platforms is essential.
The predicted salary is between 60000 - 80000 € per year.
Via, a fast-growing AI consultancy based in London, is seeking multiple AI Engineers to join its expanding engineering function. This hybrid role offers a chance to work on innovative projects involving large language models, RAG architectures, and enterprise AI deployment.
Responsibilities include:
- Designing scalable AI applications
- Developing RAG pipelines
- Collaborating with cross-functional teams
Candidates should possess strong hands-on experience with LLM APIs and cloud platforms. The position offers competitive salaries, bonuses, and a commitment to employee development.
Hybrid AI Engineer – Enterprise-Scale LLM & RAG employer: Via
At Via, we pride ourselves on being an excellent employer by fostering a dynamic work culture that encourages innovation and collaboration. Our London-based team enjoys competitive salaries, performance bonuses, and ample opportunities for professional growth in the rapidly evolving field of AI. Join us to be part of a forward-thinking company that values your contributions and supports your career development in exciting projects involving cutting-edge technology.
StudySmarter Expert Advice🤫
We think this is how you could land Hybrid AI Engineer – Enterprise-Scale LLM & RAG
✨Tip Number 1
Network like a pro! Reach out to folks in the AI space, especially those working with LLMs and RAG architectures. Attend meetups or webinars to connect with potential employers and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects involving large language models and RAG pipelines. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common AI engineering questions. Be ready to discuss your experience with cloud platforms and how you've tackled challenges in previous projects. Confidence is key!
✨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 Hybrid AI Engineer – Enterprise-Scale LLM & RAG
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your hands-on experience with LLM APIs and cloud platforms in your application. We want to see what you've done and how you can bring that expertise to our team!
Tailor Your Application:Don’t just send a generic CV! Tailor your application to reflect the specific skills and experiences that match the job description. We love seeing candidates who take the time to connect their background to what we do.
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 any 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 this exciting opportunity with us at Via!
How to prepare for a job interview at Via
✨Know Your LLMs
Make sure you brush up on your knowledge of large language models. Be prepared to discuss specific APIs you've worked with and how you've implemented them in past projects. This will show that you have the hands-on experience they're looking for.
✨Understand RAG Architectures
Familiarise yourself with Retrieval-Augmented Generation (RAG) architectures. Be ready to explain how you've developed RAG pipelines and the impact they had on your previous projects. This will demonstrate your technical expertise and problem-solving skills.
✨Showcase Collaboration Skills
Since this role involves working with cross-functional teams, think of examples where you've successfully collaborated with others. Highlight your communication skills and how you’ve contributed to team success in previous roles.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's projects and their approach to AI deployment. This not only shows your interest in the role but also gives you a chance to assess if the company aligns with your career goals.
