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- Tasks: Build and scale AI systems while tackling developer queries daily.
- Company: Leading AI tech firm in the UK with a focus on innovation.
- Benefits: Attractive salary, flexible working options, and opportunities for growth.
- Other info: Diverse workplace valuing unique contributions and perspectives.
- Why this job: Join a dynamic team and shape the future of AI technology.
- Qualifications: Degree in a relevant field and 3+ years in software engineering.
The predicted salary is between 50000 - 60000 £ per year.
A leading AI technology firm in the United Kingdom is seeking a Software Engineer to work across the stack on their systems, addressing thousands of developer questions daily. The role involves scaling infrastructure, experimenting with new features, and maintaining client integrations using Python and React.
Candidates should have a degree in a relevant field and 3+ years of experience in software engineering, particularly with machine learning and deep learning. They value contributions from diverse backgrounds.
Full-Stack Software Engineer — AI & ML Systems employer: kapa.ai
Contact Detail:
kapa.ai Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Full-Stack Software Engineer — AI & ML Systems
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and ML space on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and React. This is your chance to demonstrate your expertise in machine learning and deep learning.
✨Tip Number 3
Prepare for technical interviews by brushing up on algorithms and system design. Practice coding challenges on platforms like LeetCode or HackerRank to get into the right mindset.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications from passionate candidates who are eager to contribute to our innovative projects in AI technology.
We think you need these skills to ace Full-Stack Software Engineer — AI & ML Systems
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and React, as well as any work you've done in AI and ML. We want to see how your skills match up with what we're looking for!
Showcase Your Projects: Include links to any relevant projects or GitHub repositories. This gives us a chance to see your coding style and the kind of work you’ve done in the past. Don’t be shy about showing off your best stuff!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're passionate about AI and ML. Share your journey and what excites you about working with our team. We love hearing personal stories that connect to our mission!
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 the role. Plus, it’s super easy to do!
How to prepare for a job interview at kapa.ai
✨Know Your Tech Stack
Make sure you’re well-versed in Python and React, as these are key to the role. Brush up on your knowledge of machine learning and deep learning concepts, as you might be asked to discuss how you've applied them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some coding challenges or technical questions during the interview. Think about how you can demonstrate your ability to address developer questions and scale infrastructure effectively.
✨Highlight Your Experience with AI & ML
Since the company focuses on AI technology, be ready to share specific examples of your work in this area. Discuss any projects where you’ve implemented new features or maintained client integrations, showcasing your hands-on experience.
✨Emphasise Diversity and Collaboration
The firm values contributions from diverse backgrounds, so don’t hesitate to talk about your unique perspective. Share experiences where you’ve collaborated with others, especially in a team setting, to solve complex problems.