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- Tasks: Design and build high-performance systems for AI data and infrastructure.
- Company: Leading AI solutions provider in the UK with a focus on innovation.
- Benefits: Flexible hours and competitive hourly compensation.
- Why this job: Join a dynamic team and work on cutting-edge AI projects.
- Qualifications: 3-5 years of production C++ experience and strong systems programming skills.
- Other info: Remote role with opportunities for collaboration with research teams.
The predicted salary is between 30 - 40 £ per hour.
A leading AI solutions provider in the United Kingdom is seeking a Senior C# Full-Stack Engineer for a contract role focused on AI data and infrastructure. You will design and build high-performance systems that support data pipelines, develop tools for data annotation and quality, and collaborate with research teams.
Ideal candidates will have:
- Strong systems programming skills
- At least 3-5 years of experience in production C++
- Fluent English communication skills
This role offers flexible hours and competitive hourly compensation.
Senior C# Full-Stack Engineer for AI Data Infra (Remote) employer: Alignerr
Contact Detail:
Alignerr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior C# Full-Stack Engineer for AI Data Infra (Remote)
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and tech space. We all know that sometimes it’s not just what you know, but who you know that can land you that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving C# and AI data infrastructure. We want to see what you can do, so make it easy for potential employers to be impressed!
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. We recommend practicing coding challenges and system design questions relevant to full-stack engineering. The more prepared you are, the more confident you'll feel!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing familiar faces from our community, so let’s get you that Senior C# Full-Stack Engineer role!
We think you need these skills to ace Senior C# Full-Stack Engineer for AI Data Infra (Remote)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with C# and any relevant projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
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!
Showcase Your Communication Skills: Since fluent English communication is key, make sure your application is clear and concise. We appreciate well-structured writing that reflects your ability to communicate effectively with our research teams.
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 – just a few clicks and you’re done!
How to prepare for a job interview at Alignerr
✨Know Your C# Inside Out
Make sure you brush up on your C# skills before the interview. Be ready to discuss your experience with production-level C# and any projects you've worked on that showcase your systems programming expertise.
✨Showcase Your AI Knowledge
Since this role is focused on AI data infrastructure, be prepared to talk about your understanding of AI concepts and how they relate to data pipelines. Highlight any relevant projects or tools you've developed in this area.
✨Prepare for Technical Questions
Expect technical questions that test your problem-solving abilities and coding skills. Practise coding challenges related to full-stack development and be ready to explain your thought process clearly.
✨Communicate Effectively
Fluent English communication is key, especially when collaborating with research teams. Practise articulating your ideas and experiences concisely, and don’t hesitate to ask clarifying questions during the interview.
