At a Glance
- Tasks: Develop Python-based microservices and build AI agents for exciting client projects.
- Company: Join a leading AI lab working with top brands and generating millions in revenue.
- Benefits: Remote work, competitive salary, and opportunities to work on innovative AI systems.
- Other info: Dynamic role with opportunities for growth in a cutting-edge field.
- Why this job: Be at the forefront of AI technology and make a real impact in the industry.
- Qualifications: Experience in software engineering and proficiency in Python and LLM integration.
The predicted salary is between 60000 - 80000 € per year.
Senior AI Engineer: 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.
AI Engineer (Remote) employer: Xcede
Xcede is an exceptional employer, offering a dynamic remote work environment that fosters innovation and collaboration in the rapidly evolving field of AI. With a strong focus on employee growth, they provide opportunities to work on high-impact projects with renowned brands, ensuring that your contributions are both meaningful and rewarding. The company culture promotes continuous learning and development, making it an ideal place for those looking to advance their careers in AI engineering.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer (Remote)
✨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 the 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 us feel more confident when it’s our turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace AI Engineer (Remote)
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 ensures you don’t miss out on any updates from us!
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 how you've integrated these technologies into applications in the past. The more specific examples you can provide, the better!
✨Show Off Your Python Skills
Since this role requires proficiency in Python, be prepared to talk about your experience developing Python-based microservices. You might even want to practice coding challenges or algorithms that showcase your skills.
✨Understand Their Clients
Research the types of clients this AI lab works with. Knowing their industry and the challenges they face will help you tailor your answers and show that you're genuinely interested in contributing to their projects.
✨Prepare for Scenario Questions
Expect questions that ask you to solve real-world problems or design workflows for AI agents. Think through some scenarios beforehand and be ready to explain your thought process clearly and logically.
