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- Tasks: Enhance AI-powered code analysis tools to ensure software quality and security.
- Company: Leading software development platform in the UK with a remote team.
- Benefits: Collaborative environment, continuous learning, and growth opportunities.
- Why this job: Join a dynamic team and make a real impact on software quality.
- Qualifications: 4+ years of experience and proficiency in C, C++, or Python.
- Other info: Remote work with a focus on innovation and teamwork.
The predicted salary is between 43200 - 72000 £ per year.
A leading software development platform in the UK seeks a Software Engineer to join their remote team. You will work on enhancing AI-powered code analysis tools, ensuring software quality and security.
The ideal candidate has at least 4 years of experience and proficiency in languages like C, C++, or Python. This position offers a collaborative environment and opportunities for continuous learning and growth.
Senior AI Code Review & Autofix Engineer (Remote UK) in London employer: Coding Black Females Ltd.
Contact Detail:
Coding Black Females Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Code Review & Autofix Engineer (Remote UK) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, join relevant online communities, and attend 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 AI and code analysis tools. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and common interview questions. Practice coding challenges in C, C++, or Python to demonstrate your proficiency and problem-solving abilities.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented engineers like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Senior AI Code Review & Autofix Engineer (Remote UK) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with C, C++, or Python. We want to see how your skills align with 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! Use it to explain why you’re excited about enhancing AI-powered code analysis tools and how your background makes you a perfect fit for our team.
Showcase Your Collaborative Spirit: Since we value teamwork, mention any experiences where you’ve worked in a collaborative environment. Share examples of how you’ve contributed to team success or learned from others!
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 during the process!
How to prepare for a job interview at Coding Black Females Ltd.
✨Know Your Code Inside Out
Make sure you’re well-versed in the programming languages mentioned in the job description, especially C, C++, and Python. Brush up on your coding skills and be ready to discuss your past projects where you’ve used these languages.
✨Showcase Your Problem-Solving Skills
Prepare to demonstrate how you approach code analysis and debugging. Think of specific examples where you’ve enhanced software quality or security through your work. This will show them you can think critically and creatively.
✨Familiarise Yourself with AI Tools
Since the role involves enhancing AI-powered code analysis tools, do some research on current trends and tools in AI for software development. Being able to discuss these intelligently will set you apart from other candidates.
✨Emphasise Collaboration and Learning
This position values a collaborative environment, so be prepared to talk about your experiences working in teams. Highlight any instances where you’ve contributed to a team’s success and your commitment to continuous learning and growth.
