AI Product Engineer in London

AI Product Engineer in London

London Temporary 66000 - 78000 £ / year (est.) Working from home possible
Gravitas Recruitment Group (Global) Ltd

At a Glance

  • Tasks: Build and deliver AI-powered product features using cutting-edge technology.
  • Company: Join a dynamic product-led business focused on innovative AI solutions.
  • Benefits: Competitive daily rate, remote work flexibility, and opportunity to work with advanced AI tech.
  • Other info: Exciting role with potential for growth in the fast-evolving AI landscape.
  • Why this job: Make a real impact by integrating AI into live products and workflows.
  • Qualifications: Strong TypeScript and backend engineering experience, especially with AI integrations.

The predicted salary is between 66000 - 78000 £ per year.

We're partnering with a product-led business building AI-powered platforms and intelligent workflow systems used at scale. They're looking for a backend-leaning AI Engineer with strong TypeScript experience and proven experience delivering AI-powered products in production environments. This role is heavily focused on backend systems, AI integrations, orchestration workflows, and scalable product engineering.

The Role

You'll work across backend services, APIs, AI infrastructure, and automation pipelines, helping build and deliver AI-powered product features end-to-end. A key part of the role involves integrating LLM functionality into production systems, including RAG pipelines, retrieval systems, agent workflows, and AI-assisted automation.

Required Experience

  • Strong commercial experience with TypeScript
  • Strong backend engineering experience with Node.js
  • Experience building scalable APIs and backend services
  • Commercial experience working with LLMs in production
  • Hands-on experience with RAG pipelines and retrieval systems
  • Experience with vector databases, embeddings, and AI orchestration tooling
  • Experience integrating AI functionality into live products
  • Cloud platform experience (GCP preferred)
  • Product-focused mindset with experience owning features through delivery

Tech Environment

  • TypeScript
  • Node.js
  • PostgreSQL
  • REST APIs
  • GCP
  • LLM integrations
  • RAG pipelines
  • Vector databases
  • AI orchestration frameworks
  • React.js

Nice to Have

  • Experience with LangChain, LangGraph, CrewAI or similar frameworks
  • Exposure to agentic AI workflows or MC
  • Python experience for AI tooling or automation
  • Experience working on AI-first products

Applicants must be based in the EU for this role.

AI Product Engineer in London employer: Gravitas Recruitment Group (Global) Ltd

Join a forward-thinking product-led business that champions innovation in AI technology, offering a dynamic remote work environment across the EU. As an AI Product Engineer, you'll be part of a collaborative culture that prioritises employee growth and development, with opportunities to work on cutting-edge AI integrations and scalable systems. Enjoy competitive rates and the flexibility of remote work while contributing to impactful projects that shape the future of intelligent workflows.

Gravitas Recruitment Group (Global) Ltd

Contact Details:

Gravitas Recruitment Group (Global) Ltd Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Product Engineer in London

Tip Number 1

Network like a pro! Reach out to folks in the AI and tech community, especially those who work with TypeScript and backend systems. Join relevant online forums or LinkedIn groups to connect with potential employers and get insider info on job openings.

Tip Number 2

Show off your skills! Create a portfolio showcasing your past projects, especially those involving AI integrations and scalable APIs. This will give you an edge and demonstrate your hands-on experience to potential employers.

Tip Number 3

Prepare for interviews by brushing up on common technical questions related to Node.js, LLMs, and RAG pipelines. Practice coding challenges and be ready to discuss your previous experiences in detail, focusing on how you’ve delivered AI-powered products.

Tip Number 4

Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job listings and make sure your application stands out by tailoring it to the specific role.

We think you need these skills to ace AI Product Engineer in London

TypeScript
Node.js
Backend Engineering
API Development
LLM Integration
RAG Pipelines
Retrieval Systems

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your TypeScript and backend engineering experience. We want to see how your skills align with the role, so don’t be shy about showcasing your work with AI integrations and scalable APIs!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re passionate about AI and how your experience with LLMs and RAG pipelines makes you the perfect fit for this role. Keep it engaging and personal!

Showcase Relevant Projects:If you've worked on any projects involving AI-powered products or backend systems, make sure to mention them. We love seeing real-world applications of your skills, especially if they relate to the tech environment we use!

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 don’t miss out on any important updates from our team!

How to prepare for a job interview at Gravitas Recruitment Group (Global) Ltd

Know Your Tech Stack

Make sure you’re well-versed in TypeScript, Node.js, and the other technologies mentioned in the job description. Brush up on your experience with LLMs and RAG pipelines, as these will likely come up during the interview.

Showcase Your Projects

Prepare to discuss specific projects where you've integrated AI functionality into production systems. Highlight your role in building scalable APIs and backend services, and be ready to explain the challenges you faced and how you overcame them.

Understand the Product Mindset

Since this role is product-focused, think about how your engineering decisions impact the end-user experience. Be prepared to discuss how you’ve owned features through delivery and how you prioritise user needs in your work.

Ask Insightful Questions

Prepare thoughtful questions about the company’s AI-powered platforms and their future direction. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.