At a Glance
- Tasks: Develop Python-based microservices and build AI agents for exciting client projects.
- Company: Join a leading frontier AI lab working with top brands.
- Benefits: Remote work, competitive salary, and opportunities to innovate in AI.
- Other info: Dynamic role with potential for career growth in the AI field.
- Why this job: Make a real impact in the world of Generative AI and work on high-profile projects.
- Qualifications: Experience in software engineering and proficiency in LLM integration and Python.
The predicted salary is between 60000 - 80000 € per year.
Xcede have started working with a frontier AI lab 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!
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.
Remote AI Engineer employer: Xcede
Xcede is an exceptional employer for AI Engineers, offering a dynamic work culture that fosters innovation and collaboration. With a focus on cutting-edge Generative AI systems, employees have the opportunity to work with prestigious brands while enjoying flexible remote working arrangements. The company prioritises professional growth, providing ample opportunities for skill development and career advancement in a rapidly evolving field.
StudySmarter Expert Advice🤫
We think this is how you could land Remote AI Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, especially those who work 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 LLMs and Python-based microservices. 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’ve got loads of exciting AI Engineering positions waiting for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Remote AI Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your software engineering background and experience with 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! Tell us why you’re passionate about AI and how your experience with Python and microservices makes you the perfect fit for our team.
Showcase Your Projects:If you've worked on any cool AI projects or built AI agents, make sure to mention them! We love seeing real-world applications of your skills, so include links or descriptions of your work.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Xcede
✨Know Your AI Stuff
Make sure you brush up on your knowledge of Generative AI and LLMs. Be ready to discuss your experience with Python-based microservices and how you've integrated LLMs into applications. This will show that you're not just familiar with the tech, but that you can apply it in real-world scenarios.
✨Showcase Your Projects
Prepare to talk about specific client projects you've worked on. Highlight your role in developing AI agents and workflows, and be ready to explain the challenges you faced and how you overcame them. This gives the interviewer insight into your problem-solving skills and hands-on experience.
✨Ask Smart Questions
Don’t just wait for the interviewer to ask you questions; come prepared with your own. Ask about the types of projects they’re currently working on or how they approach the deployment and productisation of AI systems. This shows your genuine interest in the role and helps you gauge if it's the right fit for you.
✨Practice Makes Perfect
Before the interview, do some mock interviews with a friend or use online resources. Focus on articulating your thoughts clearly, especially when discussing technical concepts. The more comfortable you are speaking about your expertise, the more confident you'll appear during the actual interview.
