At a Glance
- Tasks: Design and build LLM-powered applications while developing Python-based microservices.
- Company: Join a leading AI consulting firm working with top brands.
- Benefits: Competitive salary, remote work, and opportunities for mentorship.
- Other info: Dynamic projects with excellent career growth potential.
- Why this job: Be part of a rapidly growing team and make an immediate impact in AI.
- Qualifications: 3+ years in software engineering with expertise in LLM integration and Python.
The predicted salary is between 60000 - 80000 € per year.
Xcede have started working with an AI consulting 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.
You will:
- Design and build LLM-powered applications
- Develop Python-based microservices
- Build AI agents and workflows
- Integrate models into production systems
- Work on multiple client projects
- Lead delivery on some engagements
- Review code and mentor engineers
Requirements:
- At least 3 years enterprise experience
- Proficiency in LLM integration into applications, deployment and product ionisation
- Proficiency with Python
- Having built microservices
If you are interested in this or other AI Engineering positions, please contact Gilad Sabari.
Remote engineer employer: Xcede
Join a dynamic AI consulting firm that is at the forefront of Generative AI technology, where your contributions as a Remote Engineer will be highly valued and impactful. With a strong focus on employee growth, you will have opportunities to lead projects, mentor fellow engineers, and work with prestigious brands while enjoying a collaborative and innovative work culture. The firm offers competitive benefits and the chance to be part of a rapidly expanding team, making it an exciting time to join.
StudySmarter Expert Advice🤫
We think this is how you could land Remote engineer
✨Tip Number 1
Network like a pro! Reach out to people in the AI field on LinkedIn or at industry events. We can’t stress enough how important it is to make connections; you never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and Python microservices. We recommend having a personal website where you can highlight your work and make it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in AI. We suggest doing mock interviews with friends or using online platforms to get comfortable discussing your experience and projects.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented engineers like you. By applying directly, you’ll increase your chances of getting noticed by hiring managers who are eager to expand their teams.
We think you need these skills to ace Remote engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of an Applied AI Engineer. Highlight your experience with LLMs, Python, and microservices. 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! Share your passion for AI and how you can contribute to our projects. We love seeing genuine enthusiasm and a bit of personality in your writing.
Showcase Your Projects:If you've worked on relevant projects, don’t hold back! Include links or descriptions of your work with LLMs and any AI applications you've built. This helps us understand your hands-on experience.
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 it gets into the right hands quickly. Plus, it shows you're keen to join our team!
How to prepare for a job interview at Xcede
✨Know Your AI Stuff
Make sure you brush up on your knowledge of LLMs and how they integrate into applications. Be ready to discuss specific projects you've worked on, especially those involving Python-based microservices. This will show that you’re not just familiar with the theory but have practical experience too.
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenges you've faced in previous roles, particularly in AI engineering. Think of examples where you had to troubleshoot or innovate solutions. This is your chance to demonstrate your critical thinking and adaptability, which are key in a fast-paced environment.
✨Get Familiar with Their Work
Research the AI consulting firm and their notable projects. Understanding their client base and the types of Generative AI systems they deploy will help you tailor your responses and show genuine interest. It’s all about making a connection between your skills and what they need.
✨Be Ready to Lead
Since the role involves leading delivery on engagements, think about your leadership experiences. Prepare to discuss how you've mentored others or led projects in the past. Highlighting your ability to guide teams will set you apart as a candidate who can make an immediate impact.
