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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, 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 AI, strong Python skills, and experience with NLP.
- Other info: Work closely with an experienced CTO and enjoy excellent career growth opportunities.
The predicted salary is between 36000 - 60000 £ 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 on LinkedIn or at local meetups. You never know who might have a lead on that perfect Junior AI Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and transformers. This will give you an edge when chatting with potential employers.
✨Tip Number 3
Prepare for those interviews! Research common AI engineering questions and practice your answers. Being confident and knowledgeable will help you stand out during the interview process.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities, and applying directly can sometimes give you a better chance of landing that dream job.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant skills and experiences that match the job description. We want to see how your background in AI, Machine Learning, or Data Science aligns with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about this role and how you can contribute to our mission. We love seeing genuine enthusiasm and a bit of personality.
Showcase Your Projects: If you've worked on any cool AI projects, make sure to mention them! Whether it's a personal project or something from your studies, we want to see your hands-on experience with LLMs and transformers.
Apply Through Our Website: We encourage you to apply directly through our website. It makes the process smoother for us and ensures your application gets the attention it deserves. Plus, it’s super easy!
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 and any relevant tools like Weights & Biases or MLflow. 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.
✨Prepare for Technical Challenges
Expect some technical questions or challenges related to AI and machine learning. Practise coding problems in Python and be ready to explain your thought process. This will help you stand out as a candidate who can think critically and solve problems effectively.
✨Connect with the CTO
Since you'll be working closely with the CTO, take the opportunity to connect with them during the interview. Discuss your vision for AI development and how you can contribute to scaling the organisation. Building rapport with key decision-makers can make a significant difference in your candidacy.
