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- Tasks: Develop and deploy cutting-edge AI solutions in a fast-paced environment.
- Company: Join two innovative YC-backed startups revolutionising AI infrastructure.
- Benefits: Competitive salary of £200,000 plus generous equity package.
- Why this job: Be at the forefront of AI technology and make a significant impact.
- Qualifications: Strong background in Computer Science or Mathematics; experience with Python and AI technologies.
- Other info: Onsite role in London with opportunities for growth in a dynamic startup culture.
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 in England employer: trg.recruitment
Contact Detail:
trg.recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer in England
✨Tip Number 1
Network like a pro! Reach out to people in the AI field on LinkedIn or at meetups. We can’t stress enough how personal connections can open doors for you.
✨Tip Number 2
Prepare for those interviews! Research the companies and their projects, especially if they’re working on LLMs or model deployment. We want you to shine when discussing your experience and ideas.
✨Tip Number 3
Show off your skills! If you’ve got a portfolio of projects or contributions to open-source, make sure to highlight them. We love seeing practical applications of your expertise.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. We’re excited to see what you bring to the table, so don’t hold back!
We think you need these skills to ace AI Engineer in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Engineer role. Highlight your experience with Python, LLMs, and any relevant projects that showcase your skills in AI. We want to see how you fit into our vision!
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 aligns with our needs. Let us know what excites you about working with foundational AI infrastructure.
Showcase Your Projects: If you've worked on any cool AI projects, make sure to mention them! Whether it's prompt engineering or building RAG pipelines, we love seeing real-world applications of your skills. Share links or descriptions to give us a taste of your work.
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. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at trg.recruitment
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and any frontend technologies like TypeScript or React. Be ready to discuss your hands-on experience with LLMs and prompt engineering, as these are crucial for the role.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in previous projects. Highlight your experience with CI/CD, Docker, and Kubernetes, and be ready to explain how you've used these tools to streamline processes.
✨Demonstrate Ownership Mentality
Since they’re looking for a founding engineer mindset, think about times when you took initiative or led a project. Be prepared to discuss how you’ve shipped AI-powered features end-to-end and what that process looked like.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s vision for AI infrastructure and how they measure success. This shows your genuine interest and helps you assess if it’s the right fit for you.
