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 significant career growth in AI.
- 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.
Senior 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 Generative AI. With a strong focus on employee growth, you will have the opportunity to work on high-impact projects with renowned brands, while benefiting from a culture that values creativity and continuous learning.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer (Remote)
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, especially those working with LLMs. Join relevant online communities and attend meetups to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those involving AI and microservices. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Tailor your approach! When reaching out to companies, mention specific projects or technologies they’re working on. This shows you’ve done your homework and are genuinely interested in their work.
✨Tip Number 4
Don’t forget to apply through our website! We have 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 Senior 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 your experience with Python-based microservices and how you've integrated LLMs into applications. This is your chance to show off your technical skills!
✨Showcase Your Projects
Prepare to talk about specific client projects you've worked on. Highlight the challenges you faced, how you overcame them, and the impact your work had. Real-world examples will make you stand out as a candidate.
✨Ask Smart Questions
Come prepared with insightful questions about the company's AI lab and their projects. This shows your genuine interest in the role and helps you understand if it's the right fit for you. Think about what you want to know regarding their approach to AI and client collaboration.
✨Practice Makes Perfect
Conduct mock interviews with a friend or use online resources to practice common interview questions for AI Engineers. Focus on articulating your thought process clearly, especially when discussing complex topics like AI workflows and deployment strategies.
