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, collaborative team environment, and opportunities for professional growth.
- Other info: Join a team expanding from 150 to 300 engineers, making your skills essential.
- 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 proficiency in Python.
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.
Technisch engineer. in London employer: Xcede
As a leading AI firm, we pride ourselves on fostering a dynamic and innovative work culture that empowers our engineers to make a real impact from day one. With a commitment to employee growth, we offer extensive training opportunities and the chance to work on high-profile projects with renowned brands, all while being part of a rapidly expanding team in a cutting-edge field. Join us in our vibrant location where collaboration and creativity thrive, and be part of shaping the future of Generative AI.
StudySmarter Expert Advice🤫
We think this is how you could land Technisch engineer. 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 Technisch engineer. in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your software engineering background and any experience with AI, especially LLMs. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about working with us at StudySmarter and how you can contribute to our mission. Keep it engaging and personal – we love a bit of personality!
Showcase Your Projects:If you've worked on Python-based microservices or built AI agents, make sure to mention these in your application. We’re keen to see real-world examples of your work, so include links or descriptions of your projects!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Xcede
✨Know Your Stuff
Make sure you brush up on your Python skills and understand how to develop microservices. Be ready to discuss your experience with LLMs and how you've integrated them into applications. The more specific examples you can provide, the better!
✨Showcase Your Projects
Prepare to talk about the client projects you've worked on. Highlight your role in building AI agents and workflows, and be ready to explain the challenges you faced and how you overcame them. This will show your problem-solving skills and hands-on experience.
✨Ask Smart Questions
Come prepared with questions that show your interest in the company and the role. Ask about their current projects, the technologies they use, or how they envision the growth of their AI team. This demonstrates your enthusiasm and helps you gauge if it's the right fit for you.
✨Be Yourself
While technical skills are crucial, don't forget to let your personality shine through. Companies like to see how you would fit into their culture. Be genuine, share your passion for AI, and let them know why you're excited about the opportunity to join their team.
