Artificial Intelligence Engineer

Digital Waffle
City of London
1 month ago
Create job alert

This range is provided by Digital Waffle. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.


Base pay range

Direct message the job poster from Digital Waffle


We’re on a mission to reinvent how AI understands people — not through CVs or data points, but through story, reasoning, and curiosity. We’re building systems that listen, interpret, and understand why people say what they say. The goal? Create AI that perceives human potential, not just human input.


If you love working on ideas that feel impossible — keep reading.


The Role

We’re looking for an engineer who blends technical depth with creative instinct.


You’ll work directly with founders to shape the intelligence layer behind a new generation of human-aware AI — from LLM reasoning and semantic understanding to full-stack experiences that feel emotionally intelligent.


If you’ve worked in a disruptive industry and built something brand new — not just improved what already existed — this will feel familiar.


What You’ll Be Building

  • Core intelligence systems: LLM orchestration, semantic reasoning, and voice understanding
  • Fast, intuitive interfaces that make human-AI interaction feel alive
  • Rapid prototypes that turn bold ideas into working productsScalable infrastructure for experimentation and learning

You’ll Thrive Here If You

  • Come from a disruptive, fast-moving environment
  • Have helped launch or shape new ideas, products, or technologies
  • Think in systems and build with elegance
  • Believe speed drives creativity
  • Are curious about human cognition and behaviour
  • Value truth, craft, and collaboration over hierarchy

What You Bring

  • Deep fluency in TypeScript and modern frameworks
  • Experience with vector databases and embeddings
  • Strength in LLM fine-tuning or multimodal reasoning
  • Proven ability to ship full-stack products fast
  • Experience using Gemini would be preferred

The Culture

Just a small, ambitious team that debates hard, builds fast, and chases ideas that matter.


Seniority level

Mid-Senior level


Employment type

Full-time


Job function

Engineering and Information Technology


Industries

Staffing and Recruiting, Human Resources Services, and Software Development


#J-18808-Ljbffr

Related Jobs

View all jobs

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Careers

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

Jobs

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

Education

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.