Full Stack AI Engineer (Python, TypeScript) - London - Hybrid - up to £115k

Full Stack AI Engineer (Python, TypeScript) - London - Hybrid - up to £115k

Full-Time 115000 - 115000 € / year (est.) Home office (partial)
Oliver Bernard

At a Glance

  • Tasks: Build next-gen AI applications and automation platforms with a talented team.
  • Company: High-growth tech business focused on AI innovation and internal tooling.
  • Benefits: Up to £115k salary, hybrid work, and a fast-moving culture.
  • Other info: Enjoy a collaborative environment with opportunities for rapid career growth.
  • Why this job: Join a dynamic team and tackle real-world AI challenges with ownership.
  • Qualifications: Experience in Python/TypeScript and building AI solutions.

The predicted salary is between 115000 - 115000 € per year.

Oliver Bernard are partnered with a high-growth tech business investing heavily into AI automation, internal tooling, and agentic systems across the company. They’re now hiring an AI Engineer to help build the next generation of production-ready AI applications. This is a chance to join a small, highly technical team where you’ll have genuine ownership, autonomy, and the ability to ship quickly.

What you’ll be working on:

  • AI-powered internal products and automation platforms
  • LLM applications, AI agents, and RAG workflows in production
  • End-to-end engineering across backend systems and infrastructure
  • Building tools that directly impact operational efficiency at scale

What they’re looking for:

  • Strong software engineering experience with Python and/or TypeScript
  • Experience building with LLMs, AI agents, RAG pipelines, or workflow automation
  • Exposure to cloud infrastructure, Kubernetes, or containerised environments
  • Product-minded engineers who enjoy solving real business problems

Why join?

  • High-impact role with lots of ownership
  • Fast-moving engineering culture with minimal bureaucracy
  • Real production AI challenges, not PoCs
  • Hybrid working (2-3 days onsite in London)
  • Up to £115k base salary

Full Stack AI Engineer (Python, TypeScript) - London - Hybrid - up to £115k employer: Oliver Bernard

Join a dynamic and innovative tech company that prioritises employee autonomy and ownership, offering a high-impact role as a Full Stack AI Engineer in London. With a fast-moving engineering culture and a focus on real production challenges, you'll have the opportunity to work on cutting-edge AI applications while enjoying a hybrid working model and competitive salary. The company fosters a collaborative environment that encourages professional growth and the chance to make a significant impact on operational efficiency.

Oliver Bernard

Contact Detail:

Oliver Bernard Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Full Stack AI Engineer (Python, TypeScript) - London - Hybrid - up to £115k

Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at the company. A personal referral can make all the difference in getting your foot in the door.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, TypeScript, or AI applications. This is your chance to demonstrate your expertise and passion for building impactful tech.

Tip Number 3

Prepare for the interview by brushing up on your technical skills and understanding the company's products. Be ready to discuss how you can contribute to their AI-powered internal tools and automation platforms.

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, we love seeing candidates who take the initiative to engage directly with us.

We think you need these skills to ace Full Stack AI Engineer (Python, TypeScript) - London - Hybrid - up to £115k

Python
TypeScript
AI Engineering
LLM Applications
AI Agents
RAG Pipelines
Workflow Automation

Some tips for your application 🫡

Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your experience with Python, TypeScript, and any AI-related projects you've worked on. We want to see how you can contribute to our high-growth tech business!

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 great fit for the role. Don’t forget to mention your product-minded approach and how you enjoy solving real business problems.

Showcase Your Projects:If you've built any AI applications or tools, make sure to include them in your application. We love seeing real examples of your work, especially if they relate to LLMs, AI agents, or workflow automation. It gives us a taste of what you can bring to the team!

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it shows you’re keen to join our fast-moving engineering culture!

How to prepare for a job interview at Oliver Bernard

Know Your Tech Stack

Make sure you’re well-versed in Python and TypeScript, as these are crucial for the role. Brush up on your experience with LLMs, AI agents, and RAG workflows, and be ready to discuss specific projects where you've applied these technologies.

Showcase Your Problem-Solving Skills

Prepare examples of how you've tackled real business problems using your engineering skills. Think about situations where your solutions had a significant impact on operational efficiency, and be ready to explain your thought process.

Understand the Company’s Vision

Research the company’s focus on AI automation and internal tooling. Be prepared to discuss how your background aligns with their goals and how you can contribute to building production-ready AI applications.

Ask Insightful Questions

Prepare thoughtful questions that show your interest in the role and the company. Inquire about their engineering culture, the challenges they face with AI applications, and how they measure success in this high-impact position.