At a Glance
- Tasks: Develop AI-powered features and build LLM applications using Python.
- Company: Leading tech company in AI solutions based in Greater London.
- Benefits: Competitive salary, hybrid work, private medical cover, and learning budgets.
- Other info: Exciting opportunities for growth in a fast-paced environment.
- Why this job: Join a dynamic team and create real AI features that make a difference.
- Qualifications: Foundational Python skills and a passion for AI & ML.
The predicted salary is between 30000 - 40000 £ per year.
A tech company specializing in AI solutions in Greater London is looking for a Junior AI Engineer to join its AI Engineering team. This role involves developing AI-powered features, building LLM applications, and writing production code in Python.
Candidates should have foundational skills in Python, an interest in AI & ML, and the ability to work with data.
The position offers a competitive salary, hybrid working conditions, and various employee benefits including private medical cover and learning budgets.
Junior AI Engineer: Build Real AI Features in Production employer: Xelix
Join a forward-thinking tech company in Greater London that prioritises innovation and employee development. As a Junior AI Engineer, you'll benefit from a collaborative work culture that encourages creativity and continuous learning, alongside competitive salaries, hybrid working options, and comprehensive benefits like private medical cover and dedicated learning budgets to support your growth in the exciting field of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Junior AI Engineer: Build Real AI Features in Production
✨Tip Number 1
Network like a pro! Reach out to people in the AI field on LinkedIn or at local meetups. You never know who might have a lead on that Junior AI Engineer role we’re all after!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to AI and ML. This will give us a solid edge when we’re chatting with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common AI concepts 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 often have exclusive roles listed there that you won’t find anywhere else.
We think you need these skills to ace Junior AI Engineer: Build Real AI Features in Production
Some tips for your application 🫡
Show Off Your Python Skills:Make sure to highlight your foundational skills in Python. We want to see how you've used it in past projects or coursework, so don’t hold back on sharing your experiences!
Express Your Passion for AI & ML:Let us know why you're excited about AI and machine learning! Share any personal projects, courses, or research that showcase your interest and enthusiasm for the field.
Tailor Your Application:Take a moment to customise your application for this role. Mention specific AI-powered features or LLM applications you admire, and explain how you can contribute to our team at StudySmarter.
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’re considered for this exciting opportunity!
How to prepare for a job interview at Xelix
✨Know Your Python Basics
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with Python, including any projects you've worked on. Practising coding challenges can also help you demonstrate your problem-solving abilities.
✨Show Your Passion for AI & ML
This role is all about AI and machine learning, so make sure to express your enthusiasm for these fields. Share any personal projects or research you've done related to AI, and be prepared to discuss recent trends or breakthroughs in the industry.
✨Prepare for Technical Questions
Expect technical questions that assess your understanding of AI concepts and data handling. Review common algorithms, data structures, and how they apply to AI. Practising mock interviews with a friend can help you articulate your thoughts clearly.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team’s current projects, the company’s approach to AI development, or opportunities for professional growth. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.
