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- Tasks: Design and build AI systems that power real products used by millions.
- Company: Join a leading consumer tech company launching a new AI team.
- Benefits: Enjoy a hybrid work setup, competitive salary, and strong cross-functional culture.
- Why this job: Be part of cutting-edge AI applications with immediate product impact and growth opportunities.
- Qualifications: Strong backend engineering skills, experience with Python, and some exposure to AI/ML.
- Other info: This is a rare chance to shape a new AI function in a fast-paced environment.
The predicted salary is between 43200 - 72000 £ per year.
We’re hiring for a leading consumer tech company building out a brand-new AI team and they’re looking for a senior AI engineer to help design and scale the systems behind the next wave of Generative AI-powered products.
You’ll be at the heart of a growing AI function, building real systems that support live features used by millions, with plenty of runway to grow into AI specialisation, infrastructure leadership, or both.
What They’re Looking For- Strong software fundamentals – clean code, architecture, testing, performance
- Solid experience in backend/infrastructure engineering, ideally with Python
- Some exposure to AI/ML – through personal projects, online courses, research, or past roles
- Comfortable working cross-functionally with product, platform, and ML teams
- Designing and building LLM- and NLP-based systems from the ground up
- Working on retrieval-augmented generation (RAG) pipelines, embeddings, and hybrid search
- Deploying and optimising GenAI features with real product applications
- Collaborating across product, engineering, and ML to deliver scalable AI solutions
- Shaping the technical foundations of a new AI team in a fast-moving environment
- Work on cutting-edge GenAI applications from the ground up
- Join a new, well-resourced AI team at the earliest stage
- Immediate product impact – your work goes live, not to a research shelf
- Room to grow into AI-focused engineering or technical leadership
- Hybrid setup with real flexibility and strong cross-functional culture
If you’re a strong backend engineer who’s excited by the promise of AI and ready to build the systems that power it, this is a rare opportunity to be part of something early, meaningful, and technically ambitious. Apply now or reach out to learn more.
Contact Detail:
Understanding Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Software Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in Generative AI and scalable systems. Being able to discuss recent advancements or projects in this area during your conversations will show your genuine interest and expertise.
✨Tip Number 2
Network with professionals in the AI and software engineering fields. Attend meetups, webinars, or conferences where you can connect with people who work in similar roles or companies, as they might provide valuable insights or referrals.
✨Tip Number 3
Prepare to demonstrate your backend engineering skills through practical examples. Be ready to discuss specific projects where you've implemented clean code, architecture, and performance optimisation, as these are key aspects of the role.
✨Tip Number 4
Showcase your collaborative skills by highlighting experiences where you've worked cross-functionally. This could involve sharing how you’ve successfully partnered with product or ML teams to deliver impactful solutions.
We think you need these skills to ace Senior AI Software Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your strong software fundamentals, backend engineering experience, and any exposure to AI/ML. Use specific examples from your past roles or projects that demonstrate your skills in Python and system design.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background aligns with their needs, particularly your experience in building scalable systems and working cross-functionally with teams.
Showcase Relevant Projects: If you have personal projects or contributions related to AI/ML, make sure to mention them. Highlight any work on LLMs, NLP systems, or retrieval-augmented generation pipelines to demonstrate your hands-on experience.
Proofread and Edit: Before submitting your application, carefully proofread all documents. Check for spelling and grammatical errors, and ensure that your writing is clear and professional. A polished application reflects your attention to detail.
How to prepare for a job interview at Understanding Recruitment
✨Showcase Your Technical Skills
Be prepared to discuss your experience with backend and infrastructure engineering, particularly in Python. Bring examples of clean code you've written and be ready to explain your architectural decisions during past projects.
✨Demonstrate AI/ML Knowledge
Even if your experience with AI/ML is limited, highlight any personal projects, online courses, or research you've undertaken. This shows your enthusiasm for the field and your willingness to learn.
✨Prepare for Cross-Functional Collaboration
Since the role involves working with product, platform, and ML teams, think of examples where you've successfully collaborated across different functions. Be ready to discuss how you communicate technical concepts to non-technical stakeholders.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's AI vision, the team structure, and the specific challenges they face. This demonstrates your genuine interest in the role and helps you assess if it's the right fit for you.
