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- Tasks: Build AI-powered features using cutting-edge technologies like large language models and APIs.
- Company: Join a forward-thinking tech company shaping the future of AI.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
- Other info: Dynamic work environment with excellent career advancement potential.
- Why this job: Make a real impact by solving user problems with innovative AI solutions.
- Qualifications: Experience in Python or TypeScript and a passion for AI development.
The predicted salary is between 50000 - 70000 £ per year.
Thinking about becoming an AI engineer in the UK? Build AI-powered features by integrating large language models, vector databases and APIs into real products. This guide covers what the role actually involves day-to-day, the salary you can realistically expect, the skills and qualifications you'll need, and the practical steps to get started – whether you're starting fresh or switching from another path.
What does an AI engineer do day-to-day? Every day is different. You'll like shipping working software and applying cutting‑edge AI to real user problems, more than writing research papers, solving problems and keeping moving things forward. Build AI-powered features by integrating large language models, vector databases and APIs into real products. Skills you'll need as an AI engineer include:
- Python or TypeScript
- LLM APIs and prompting
- RAG and vector DBs
- Evaluation and testing
Work style – office or remote, deep focus + cross‑team collaboration. Day rhythm – a steady weekly rhythm with regular routines.
How to become an AI engineer in the UK:
- Look up AI Engineer roles on LinkedIn or Indeed and read 5 real job ads.
- Talk to someone already working as an AI Engineer – even a 15‑minute call helps.
- Find one beginner course or qualification used by people in this role.
- Build one small piece of evidence you've explored this (project, shadowing, short course).
- Apply to one entry‑level role or related opportunity within the next month.
Do you need qualifications to be an AI engineer? Qualifications for AI engineer work: Helpful (CS, maths) but strong portfolios are accepted. The exact requirements depend on the employer and specialism, so check job adverts in your target area before committing to a long study route.
Specialisations within AI Engineer:
- LLM Application Engineer: Build chatbots, copilots and AI features on top of foundation models. Entry route: Move from SWE + ship 2‑3 LLM side‑projects.
- Own the full AI feature lifecycle – design, prototype, ship, evaluate. Entry route: Strong product engineer + AI portfolio.
Explore related paths and see how AI engineer fits into wider career groups – or read deeper on the topics most relevant to you.
AI Engineer employer: Tony Knows
Contact Detail:
Tony Knows Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Get your hands dirty with projects! Build something using Python or TypeScript that showcases your skills. Whether it's a chatbot or an AI feature, having a tangible project to discuss in interviews can really set you apart.
✨Tip Number 2
Network like a pro! Reach out to current AI engineers on LinkedIn for a quick chat. They can provide insider tips and might even point you towards job openings that aren't advertised yet.
✨Tip Number 3
Stay updated on the latest trends in AI. Follow relevant blogs, podcasts, or online courses. Showing that you're passionate about the field can make a huge difference when you're in front of potential employers.
✨Tip Number 4
Apply through our website! We have loads of entry-level roles that are perfect for you. Tailor your application to highlight your projects and any relevant experience, and don’t forget to follow up after applying!
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Engineer role. Highlight your experience with Python or TypeScript, and any projects involving LLM APIs or vector databases. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI and how you've applied your skills in real-world scenarios. Let us know why you're excited about the opportunity at StudySmarter and how you can contribute.
Showcase Your Projects: Include links to any relevant projects or portfolios that demonstrate your experience with AI technologies. Whether it's a chatbot you built or an API integration, we love seeing practical examples of your work!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're keen on joining the StudySmarter team!
How to prepare for a job interview at Tony Knows
✨Know Your Tech Stack
Make sure you’re well-versed in Python or TypeScript, as these are crucial for the role. Brush up on LLM APIs and vector databases, and be ready to discuss how you've used them in past projects or how you plan to integrate them into real products.
✨Showcase Your Projects
Bring along a portfolio of your work, especially any AI-powered features you've built. If you’ve done side projects or taken courses, be prepared to talk about them in detail. This shows your hands-on experience and passion for the field.
✨Understand the Day-to-Day
Familiarise yourself with what an AI engineer does daily. Be ready to discuss how you would approach shipping working software and solving user problems. Highlight your ability to collaborate across teams and maintain a steady rhythm in your work.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s AI projects and their tech stack. This not only shows your interest but also helps you gauge if the company aligns with your career goals. It’s a great way to demonstrate your enthusiasm for the role!