At a Glance
- Tasks: Help build and scale AI-driven developer tools like GitHub Copilot and Codex.
- Company: Join a forward-thinking tech company focused on innovative AI solutions.
- Benefits: Enjoy flexible hours, generous vacation, and a comprehensive pension plan.
- Other info: Collaborative environment with opportunities for personal and professional growth.
- Why this job: Make a real impact by empowering developers with cutting-edge AI tools.
- Qualifications: Experience in software engineering or DevOps, with a passion for AI tools.
The predicted salary is between 50000 - 60000 £ per year.
Are you excited about shaping the next generation of AI‑driven engineering tools? Do you thrive on building scalable, intuitive solutions that empower teams to work smarter?
About the team: The team sits within the core engineering function and is in the process of building out a new AI capability with additional hires. The new members will collaborate closely with tooling engineers, security architecture teams, and software engineers.
About the role: We are seeking a mid-level Gen AI Tooling Engineer (L3) to support the operationalization and scaling of GenAI‑powered developer tools across the organization, including GitHub Copilot, Codex, and Claude Code. This is a full‑time role focused on hands-on configuration, support, and continuous improvement of these platforms. The successful candidate will work within a lean AI Engineering team, contributing to platform management, developer enablement, and day‑to‑day operations. The role combines practical engineering work with developer support, helping ensure these tools are adopted effectively, securely, and at scale.
Key Responsibilities:
- Assist in configuring and operationalizing GenAI coding assistants such as GitHub Copilot, Codex, and Claude Code.
- Contribute to great Developer Experience by making tools easy to discover, access, and use.
- Support the deployment of these platforms with appropriate security, governance, and cost considerations.
- Contribute to GitHub administration tasks, including configuration and policy enforcement.
- Provide 2nd line support for developers using AI coding tools, troubleshooting issues, and escalating where needed.
- Collaborate with developers across Elsevier to build automated AI‑first workflows and help transform the SDLC.
- Create and maintain documentation, guides, and best practices.
- Monitor platform usage, issues, and feedback to help inform improvements.
- Stay informed on new features, models, and tooling developments, and support their evaluation and rollout.
- Contribute to building a scalable support and operating model under guidance from senior engineers.
Requirements:
- Solid software engineering or DevOps background with familiarity in modern development workflows.
- Experience with GitHub and IDE‑based development environments.
- Working knowledge of CI/CD pipelines and software delivery practices – GitHub Actions is preferred.
- Exposure to, or interest in, AI coding assistants or LLM‑based developer tools.
- Ability to troubleshoot issues and provide hands‑on support to developers.
- Clear written communication skills for documentation and guidance.
What We’re Looking For:
A pragmatic, technically capable engineer who is comfortable working in a supportive and collaborative role. This position is well‑suited to someone who enjoys working directly with developers, solving practical problems, and contributing to the adoption of new tools. Success in this role will come from strong execution, responsiveness, and the ability to learn quickly while working alongside more senior engineers in a rapidly evolving space.
Benefits:
- Comprehensive Pension Plan
- Home, office, or commuting allowance.
- Generous vacation entitlement and option for sabbatical leave
- Maternity, Paternity, Adoption, and Family Care leave
- Flexible working hours
- Personal Choice budget
- Internal communities and networks
- Various employee discounts
- Recruitment introduction reward
- Employee Assistance Program (global)
Equal Opportunity Statement:
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
GENAI Tooling Engineer employer: RELX
As a GenAI Tooling Engineer at our innovative company, you'll be part of a dynamic team dedicated to shaping the future of AI-driven engineering tools. We offer a supportive work culture that prioritises collaboration and personal growth, alongside a comprehensive benefits package including flexible working hours, generous vacation entitlement, and opportunities for professional development. Join us in a role that not only empowers you to make a meaningful impact but also provides a platform for continuous learning and advancement in a rapidly evolving field.
StudySmarter Expert Advice🤫
We think this is how you could land GENAI Tooling Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working with GenAI tools. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing projects where you've used AI coding assistants or similar tools. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to GenAI tooling and developer support. Practice explaining your past experiences and how they relate to the role you're applying for.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace GENAI Tooling Engineer
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with AI tools and software engineering. We want to see how your skills align with the GenAI Tooling Engineer role, so don’t hold back on showcasing relevant projects!
Show Off Your Communication Skills:Since clear written communication is key for this role, ensure your application is well-structured and free of jargon. We love a good story, so feel free to share examples of how you've documented processes or created guides in the past.
Highlight Your Problem-Solving Abilities:We’re looking for someone who enjoys tackling challenges head-on. In your application, mention specific instances where you’ve troubleshot issues or improved workflows, especially in relation to developer tools or CI/CD pipelines.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at RELX
✨Know Your Tools Inside Out
Make sure you’re familiar with GenAI coding assistants like GitHub Copilot, Codex, and Claude Code. Brush up on their features and how they can enhance developer workflows. Being able to discuss these tools confidently will show your passion and readiness for the role.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled challenges in previous roles, especially related to software engineering or DevOps. Think about specific instances where you provided hands-on support or improved a process, as this aligns perfectly with what the team is looking for.
✨Communicate Clearly
Since clear written communication is key for documentation and guidance, practice explaining complex concepts in simple terms. You might be asked to describe how you would document a new feature or troubleshoot an issue, so being articulate will set you apart.
✨Stay Updated on AI Trends
Keep yourself informed about the latest developments in AI coding tools and LLMs. Being able to discuss recent advancements or features during your interview will demonstrate your enthusiasm for the field and your commitment to continuous learning.
