At a Glance
- Tasks: Build and scale AI developer tools to enhance coding experiences.
- Company: Join Elsevier, a leader in innovative technology solutions.
- Benefits: Enjoy flexible working hours and a comprehensive pension plan.
- Other info: Dynamic role with opportunities for growth in a tech-driven environment.
- Why this job: Be at the forefront of AI development and shape the future of coding tools.
- Qualifications: Solid software engineering skills and experience with GitHub required.
The predicted salary is between 50000 - 60000 £ per year.
Elsevier is seeking a mid-level Gen AI Tooling Engineer to scale GenAI-powered developer tools like GitHub Copilot and Codex. The role involves configuring tools, providing developer support, and ensuring a great developer experience through effective AI integration.
A successful candidate should have a solid software engineering background, experience with GitHub, and a passion for AI coding tools.
Benefits include a comprehensive pension plan and flexible working hours.
GenAI Tooling Engineer: Build AI Developer Tools employer: Elsevier
At Elsevier, we pride ourselves on being an excellent employer that fosters a collaborative and innovative work culture. As a GenAI Tooling Engineer, you'll enjoy flexible working hours, a comprehensive pension plan, and ample opportunities for professional growth in the thriving tech hub of our location. Join us to be part of a team that values your contributions and supports your passion for AI development.
StudySmarter Expert Advice🤫
We think this is how you could land GenAI Tooling Engineer: Build AI Developer Tools
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and developer tools space on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with GitHub and any AI tools you've worked with. This is your chance to shine and demonstrate your passion for AI coding tools.
✨Tip Number 3
Prepare for the interview by brushing up on common questions related to AI integration and developer support. We want you to feel confident and ready to impress!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace GenAI Tooling Engineer: Build AI Developer Tools
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let us see your enthusiasm for AI coding tools. Share any personal projects or experiences that highlight your interest in GenAI and how you've used these tools in your work.
Tailor Your Experience:Make sure to customise your application to reflect your software engineering background. Highlight relevant experiences with GitHub and any developer tools you've worked with, so we can see how you fit into the role.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and make sure your skills and experiences shine through without unnecessary fluff.
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 from our team!
How to prepare for a job interview at Elsevier
✨Know Your AI Tools
Make sure you’re well-versed in the latest GenAI tools like GitHub Copilot and Codex. Familiarise yourself with their features and how they enhance developer productivity. This will show your passion for AI coding tools and your readiness to contribute.
✨Showcase Your Software Engineering Skills
Prepare to discuss your software engineering background in detail. Be ready to share specific projects where you’ve configured tools or provided developer support. Highlight any challenges you faced and how you overcame them to ensure a great developer experience.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the team’s current projects, the integration of AI tools, and how they measure developer satisfaction. This demonstrates your genuine interest in the role and helps you gauge if it’s the right fit for you.
✨Be Ready for Technical Challenges
Expect some technical questions or challenges during the interview. Brush up on your coding skills and be prepared to solve problems on the spot. Practising common coding challenges can help you feel more confident and showcase your abilities effectively.
