At a Glance
- 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 infrastructure.
- Benefits: Competitive salary, stock options, hybrid work, and growth opportunities.
- 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: Dynamic startup environment with potential for rapid career advancement.
The predicted salary is between 34000 - 46000 £ per year.
Location: London (hybrid – meet 1–2 times per month)
Type: Permanent
Salary: £40,000 + stock options
Interview Process: 2–3 stages
We’re hiring for a founding AI Engineer to join a startup building AI agent infrastructure for regulated industries. They are a Seed stage company backed by a Leading London VC and you will work closely with the CTO who is a previously exited AI Founder. The product already has an MVP and a fine-tuned LLM. The next step is scaling the organisation as they look to move towards their Series A.
Please only apply if you have a Master’s + in Computer Science.
What you’ll do:
- Build and fine-tune AI models (LLMs and transformer-based architectures).
- Work directly with customers to integrate and test new features.
- Develop and improve core components of the AI agent framework.
- Gather and act on client feedback to enhance product performance.
- Take part in design and architecture discussions.
About you:
- Master’s or PhD in AI, Machine Learning, Data Science, or Computer Science (Russell Group or similar).
- Strong Python skills (Pandas, NumPy).
- Experience or exposure to NLP, transformers, and LLMs.
- Familiarity with ML tools like Weights.
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 in the job hunt.
✨Tip Number 2
Prepare for those interviews! Research the company and its products thoroughly. Be ready to discuss how your skills in Python and AI can directly contribute to their goals. Show them you’re not just another candidate, but the perfect fit!
✨Tip Number 3
Don’t underestimate the power of follow-ups! After an interview, drop a quick thank-you email to express your appreciation. It keeps you on their radar and shows your enthusiasm for the role.
✨Tip Number 4
Apply through our website! We make it easy for you to showcase your skills and passion for AI. Plus, it helps us keep track of your application better, so don’t miss out on that chance!
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 in AI, Machine Learning, and Python. 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! Use it to explain why you're passionate about AI and how you can contribute to our team. Keep it concise but engaging – we love a good story!
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 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 Stuff
Make sure you brush up on your AI and machine learning knowledge, especially around LLMs and transformer-based architectures. Be ready to discuss your experience with Python and any relevant projects you've worked on, as this will show your technical prowess.
✨Understand the Company
Research the startup and its product thoroughly. Understand their MVP and how they plan to scale towards Series A. This will not only help you answer questions but also allow you to ask insightful ones, showing your genuine interest in their mission.
✨Prepare for Technical Questions
Expect some technical challenges during the interview. Practice coding problems related to AI and machine learning, and be prepared to explain your thought process. This will demonstrate your problem-solving skills and ability to think on your feet.
✨Show Your Collaborative Side
Since you'll be working closely with the CTO and clients, highlight your teamwork and communication skills. Share examples of how you've gathered feedback and acted on it in past projects, as this is crucial for enhancing product performance.