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 C# Engineer employer: Xcede
As a Remote C# Engineer at this innovative AI consulting firm, you will be part of a dynamic team that is at the forefront of Generative AI technology, working with prestigious brands and making a tangible impact on their projects. The company fosters a collaborative work culture that prioritises employee growth, offering mentorship opportunities and the chance to lead significant engagements. With plans to double the engineering team, this is an exciting time to join and contribute to groundbreaking solutions in a supportive and fast-paced environment.
StudySmarter Expert Advice🤫
We think this is how you could land Remote C# Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and software engineering space. Attend meetups or webinars, and don’t be shy about asking for introductions. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and microservices. We recommend using platforms like GitHub to share your code and demonstrate your expertise. It’s a great way to stand out from the crowd!
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to AI and C#. We can help you with resources and practice questions. Remember, confidence is key, so practice explaining your thought process clearly!
✨Tip Number 4
Apply through our website! We’re always on the lookout for talented engineers like you. By applying directly, you’ll have a better chance of getting noticed by hiring managers who are eager to fill those roles quickly.
We think you need these skills to ace Remote C# Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of a C# Engineer. Highlight your experience with LLMs and Python, and don’t forget to mention any relevant projects you've worked on. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality come through!
Showcase Your Projects:If you’ve worked on any cool projects, especially those involving LLMs or microservices, make sure to include them in your application. We’re keen to see real-world examples of your work and how you’ve made an impact in previous roles.
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. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Xcede
✨Know Your Stuff
Make sure you brush up on your C# and Python skills, especially around LLM integration and microservices. Be ready to discuss specific projects where you've applied these technologies, as this will show your hands-on experience.
✨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 designed or built applications that solved real-world problems, as this will demonstrate your ability to make an immediate impact.
✨Be Ready to Collaborate
Since you'll be working on multiple client projects, highlight your teamwork experience. Share stories about how you've led delivery on engagements or mentored other engineers, as this shows you're a team player who can contribute to their growing team.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's projects and future plans. This not only shows your interest but also gives you a chance to assess if the company aligns with your career goals. Ask about their approach to integrating AI into production systems!
