At a Glance
- Tasks: Join a leading AI firm to develop Python-based microservices and build innovative AI agents.
- Company: Dynamic AI company working with top brands and generating multi-million-pound revenues.
- Benefits: Immediate impact, competitive salary, and opportunities for professional growth.
- Other info: Join a team of passionate engineers and work on exciting client projects.
- Why this job: Be part of a rapidly growing team and shape the future of Generative AI.
- Qualifications: Software engineering background with experience in AI and LLM integration.
The predicted salary is between 60000 - 80000 € per year.
Xcede have started working with the leading AI firm who help large organisations design, build, and deploy real-world Generative AI systems. They work with very well-known brands and generate multi‑million‑pound revenues!
Wanting to grow their team from 150 engineers to 300, and also being around 10 engineers short across projects, they urgently need new capable engineers. This means you will be joining at a time where you are genuinely needed and can have an immediate impact!
Their ideal candidate will have a software engineering background who is now an AI Engineer working with LLMs:
- Develop Python-based microservices
- Build AI agents and workflows
- Work on multiple client projects
- Proficiency in LLM integration into applications, deployment and product ionisation
- Proficiency with Python
If you are interested in this or other AI Engineering positions, please contact Gilad Sabari @ gilad.
Engineer gezocht in London employer: Xcede
Joining this leading AI firm means becoming part of a dynamic team that is at the forefront of Generative AI technology, where your contributions will be valued and impactful. With a strong focus on employee growth, you will have access to continuous learning opportunities and the chance to work on high-profile projects with renowned brands. The collaborative and innovative work culture fosters creativity and encourages engineers to push the boundaries of what's possible in AI.
StudySmarter Expert Advice🤫
We think this is how you could land Engineer gezocht in London
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, especially those working at companies you're interested in. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and LLMs. This is your chance to demonstrate what you can do beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on common AI engineering questions and coding challenges. Practising with friends or using online platforms can help you feel more confident when it’s your turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented engineers like you, and applying directly can sometimes give you an edge over others.
We think you need these skills to ace Engineer gezocht in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of an Applied AI Engineer. Highlight your software engineering background and any experience with LLMs, Python, and AI projects. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how you can contribute to our team. Be specific about your experiences and how they relate to the job description.
Showcase Your Projects:If you've worked on relevant projects, make sure to mention them! Whether it's building microservices or developing AI agents, we love to see real-world applications of your skills. Include links or descriptions that demonstrate your expertise.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Xcede
✨Know Your Stuff
Make sure you brush up on your software engineering fundamentals and AI concepts, especially around LLMs. Be ready to discuss your experience with Python and how you've developed microservices in the past.
✨Showcase Your Projects
Prepare to talk about specific projects where you've built AI agents or workflows. Highlight your role, the challenges you faced, and how you overcame them. This will show your practical experience and problem-solving skills.
✨Understand Their Needs
Research the company and their clients. Understand the types of Generative AI systems they work on and think about how your skills can directly contribute to their projects. Tailoring your answers to their needs will make you stand out.
✨Ask Smart Questions
Prepare insightful questions about their current projects and future goals. This shows your genuine interest in the role and helps you assess if the company is the right fit for you. Plus, it keeps the conversation engaging!
