At a Glance
- Tasks: Lead the AI Innovation Hub and develop impactful AI products for a major ecommerce group.
- Company: Join a leading European ecommerce group with a focus on innovation and technology.
- Benefits: Earn up to £150,000 plus bonuses, with flexible hybrid or remote working options.
- Other info: Be the founding AI hire and help build an AI function from the ground up.
- Why this job: Shape the future of AI in ecommerce and make a real-world impact from the start.
- Qualifications: Strong software engineering skills and experience in building AI products.
The predicted salary is between 150000 - 150000 £ per year.
Our client is a major European ecommerce group operating a portfolio of consumer brands across 90+ international markets. Having already invested heavily in data, technology and digital transformation, the business is now making a significant investment in AI and has launched a brand-new AI Innovation Hub to lead that evolution. This is a rare opportunity to join at the beginning of that journey and help shape how AI is adopted across a large international ecommerce business.
Founding AI Hire
- The first AI Engineer hire within the newly established AI Innovation Hub.
- You’ll help shape the AI strategy, influence the technical roadmap and build production-grade AI products that solve real business problems.
- Design, build and deploy AI-powered products and applications.
- Develop production-grade LLM solutions and agentic workflows.
- Build RAG architectures and knowledge retrieval systems.
- Integrate AI applications with internal platforms, tools and business systems.
- Identify opportunities where AI can create measurable commercial impact.
- Partner with senior stakeholders across product, technology and commercial teams.
- Help define the long-term AI architecture and engineering standards.
- Help build an AI function from the ground up.
- Work across multiple brands, products and business challenges.
- Opportunity to build AI products that create real-world impact at scale.
- Strong software engineering foundations.
- Experience building and deploying AI products into production environments.
- Python and modern backend engineering experience.
- Experience with LLMs, RAG architectures and agentic AI systems.
- MCP or similar protocols for connecting AI systems with tools and external services.
- Strong product thinking and commercial awareness.
Compensation
Up to £150,000 + Bonus + Benefits. Hybrid or remote working available (based on candidate preference).
AI Lead Engineer employer: Aperia Search
As a pioneering employer in the European ecommerce landscape, our client offers an exceptional opportunity for AI Lead Engineers to join their newly established AI Innovation Hub. With a strong commitment to employee growth, a collaborative work culture, and the flexibility of hybrid or remote working, this role not only allows you to shape the future of AI within a major international group but also provides competitive compensation and benefits that reflect the value placed on innovation and talent.
StudySmarter Expert Advice🤫
We think this is how you could land AI Lead Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects or contributions to open-source initiatives. We want to see what you can do, so make sure your work is front and centre when you’re chatting with potential employers.
✨Tip Number 3
Prepare for those interviews! Research the company and its AI initiatives, and think about how your experience aligns with their goals. We recommend practising common interview questions and even some technical challenges to really impress them.
✨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, we love seeing candidates who are proactive and take the initiative to connect with us directly.
We think you need these skills to ace AI Lead Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the AI Lead Engineer role. Highlight your experience in building AI products and any relevant projects you've worked on, especially those involving LLMs and RAG architectures.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and how you can contribute to our new AI Innovation Hub. Share specific examples of how you've influenced AI strategies or built impactful AI solutions in the past.
Showcase Your Technical Skills:Don’t forget to mention your software engineering foundations and any experience with Python or backend engineering. We want to see how you’ve applied these skills in real-world scenarios, so be specific!
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 this exciting opportunity to shape our AI strategy from the ground up.
How to prepare for a job interview at Aperia Search
✨Know Your AI Stuff
Make sure you brush up on the latest trends and technologies in AI, especially around LLMs and RAG architectures. Be ready to discuss your experience with building and deploying AI products, as well as how you've tackled real business problems using AI.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've identified opportunities for AI to create commercial impact in previous roles. Think about specific projects where your contributions made a difference and be ready to explain your thought process and outcomes.
✨Engage with Stakeholders
Since this role involves partnering with senior stakeholders, practice how you'll communicate complex AI concepts to non-technical audiences. Highlight your experience in collaborating across teams and how you’ve influenced product and technology strategies.
✨Demonstrate Your Engineering Foundations
Be prepared to discuss your software engineering background, particularly in Python and backend development. You might be asked technical questions or even to solve coding challenges, so keep your skills sharp and be ready to showcase your coding prowess.
