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 proficiency 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:in (m/w/d) employer: Xcede
As a leading AI consulting firm, we pride ourselves on fostering a dynamic and innovative work culture that empowers our engineers to make a real impact in the world of Generative AI. With a strong focus on employee growth, we offer extensive training opportunities and the chance to work on high-profile projects with renowned brands, all while enjoying the flexibility of remote work. Join us and be part of a rapidly expanding team where your contributions are valued and recognised.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Engineer:in (m/w/d)
✨Tip Number 1
Network like a pro! Reach out to people in the AI and engineering space on LinkedIn or at industry events. We can’t stress enough how personal connections can lead to job opportunities, so don’t be shy!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and microservices. We all love a good visual, and it’ll give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common AI engineering questions and coding challenges. We recommend practicing with friends or using online platforms to simulate the real deal. Confidence is key!
✨Tip Number 4
Apply through our website! We’ve got loads of exciting AI Engineering positions waiting for you. It’s a great way to get noticed and show your enthusiasm for joining the team.
We think you need these skills to ace Remote Engineer:in (m/w/d)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with LLMs and Python. We want to see how your background fits the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re excited about working with AI and how you can contribute to our team. Keep it engaging and personal – we love to see your passion!
Showcase Your Projects:If you've worked on any cool AI projects or built microservices, make sure to mention them! We’re keen to see real examples of your work and how you’ve tackled challenges in the past.
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 knowledge of LLMs and Python. Be ready to discuss your past projects where you've integrated AI into applications. This shows you're not just familiar with the tech, but you've actually used it in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in previous roles, especially related to building microservices or deploying AI models. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight how you tackled those issues.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about their current projects, team dynamics, and future goals. This not only shows your interest but also helps you gauge if the company is the right fit for you.
✨Be Ready to Code
Since this role involves coding, be prepared for a technical assessment. Brush up on your Python skills and be ready to write code on the spot. Practising common algorithms and data structures can give you an edge!
