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- Tasks: Build and fine-tune AI models while collaborating with customers on innovative features.
- Company: Exciting startup backed by a leading London VC, focused on AI agent infrastructure.
- Benefits: Competitive salary of £40,000 plus stock options and hybrid work model.
- Why this job: Join a pioneering team and shape the future of AI in regulated industries.
- Qualifications: Master’s or PhD in relevant fields and strong Python skills required.
- Other info: Work closely with an experienced CTO and enjoy excellent career growth opportunities.
The predicted salary is between 28800 - 48000 £ per year.
AI Engineer
Location: London (Onsite – 5 days per week)
Type: Permanent
Salary: £200,000 + generous equity package
Interview Process: 2-4 stages
I'm hiring for two YC-backed startups building foundational AI infrastructure – one focused on advancing reasoning capabilities, the other on streamlining how teams deploy and monitor models in production.
What we're looking for:
- Strong academic background in Computer Science, Mathematics, or related field
- Founding engineer mindset with ownership mentality
- Series A-C scale-up experience (ideally in fast-growth environments)
Role 1: AI Engineer
- Expert-level Python with exposure to frontend technologies (TypeScript/React preferred)
- Hands-on experience with LLMs, prompt engineering, and evaluation frameworks
- Ability to ship AI-powered features end-to-end
- Minimum 3 years of experience
Role 2: Applied AI Engineer
- Strong backend engineering experience (Python preferred)
- Deep knowledge of CI/CD, Docker, Kubernetes, and Git workflows
- Experience building RAG pipelines and AI agent orchestration systems
- Minimum 5 years of experience
📩 Interested? Message me here or email mmatysik@trg-uk.com
AI Engineer employer: trg.recruitment
Contact Detail:
trg.recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, especially those who work at startups or have connections to the company you're eyeing. A friendly chat can sometimes lead to a referral, which is golden!
✨Tip Number 2
Prepare for those interviews! Research the company and its product thoroughly. Understand their tech stack and be ready to discuss how your skills in Python and AI can help them scale their infrastructure.
✨Tip Number 3
Show off your projects! If you've built any AI models or worked on relevant projects, make sure to highlight them during your conversations. Real-world examples can set you apart from the crowd.
✨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 serious about joining the team!
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 relevant experience, especially with LLMs and Python, and don’t forget to mention any projects that showcase your skills in AI and machine learning.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background makes you a perfect fit for this startup. Keep it concise but engaging!
Showcase Your Projects: If you've worked on any AI-related projects, make sure to include them in your application. Whether it's a personal project or something from your studies, showing off your hands-on experience can really set you apart.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at trg.recruitment
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI models, especially LLMs and transformer-based architectures. Be ready to discuss your experience with Python libraries like Pandas and NumPy, as well as any exposure to NLP. This will show that you're not just a theoretical expert but also someone who can apply their knowledge practically.
✨Show Your Curiosity
During the interview, demonstrate your curiosity and proactive nature. Ask insightful questions about the company's AI agent infrastructure and how they gather client feedback. This shows that you're genuinely interested in the role and eager to contribute to the team’s success.
✨Prepare for Technical Challenges
Expect some technical questions or challenges related to AI model building and fine-tuning. Practise explaining your thought process clearly and concisely. You might even want to prepare a few examples from your past work where you successfully tackled similar challenges.
✨Connect with the CTO's Vision
Since you'll be working closely with the CTO, take some time to research their background and previous projects. Understanding their vision for the company and being able to align your skills and experiences with that vision can really set you apart in the interview.