Senior AI Engineer - Build Production-Grade Agentic AI
Elsevier About the role
Elsevier in London is seeking a Senior Software Engineer / Senior AI Engineer to design, build and ship intelligent systems using cutting-edge AI technologies.
You will work on agentic AI workflows, RAG pipelines and enterprise-scale integrations inside embedded squads.
You will mentor junior engineers, review code, and help turn experimentation into validated, reusable solutions that fit real-world workflows while delivering measurable impact for researchers and healthcare professionals.
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Your tasks
Design and build intelligent systems using cutting-edge AI technologies.
Your profile
Experience in AI engineering and a passion for mentoring others.
What's also included
Competitive salary, mentorship opportunities, and a dynamic work environment.
Tech stack & ways of working
Senior AI Engineer - Build Production-Grade Agentic AI employer: Elsevier
At Elsevier, we pride ourselves on being an excellent employer, particularly for our Java Software Engineer role in Oxford. Our vibrant work culture fosters collaboration and innovation, while our commitment to employee growth is evident through continuous learning opportunities and flexible working arrangements that promote a healthy work-life balance. Join us to be part of a team that values your contributions and supports your professional journey in the exciting field of scientific knowledge sharing.
Your perspectives
Make a real impact on research and healthcare with your AI expertise.
StudySmarter Expert Advice
Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Elsevier or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Elsevier.
Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Elsevier.
Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Elsevier that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
Some tips for your application 🫡
Show off your coding skills
When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio
For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Elsevier.
Craft a killer cover letter
Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Elsevier and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise
When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Elsevier
Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Elsevier uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
