Artificial Intelligence Engineer

TDA
Birmingham
1 year ago
Applications closed

Related Jobs

View all jobs

Computer Vision and Artificial Intelligence Engineer

Digital and Technology Solutions Apprenticeship - Artificial Intelligence Software Engineering

Digital and Technology Solutions Apprenticeship - Artificial Intelligence Software Engineering

Software Engineer, Applied Artificial Intelligence (AI)

Software Engineer, Applied Artificial Intelligence (AI)

Artificial Intelligence Manager (18-month FTC)

I am seeking an AI Engineer to be one of the first to join my clients team.


The focus will be building Agents which build Apps on top of my client's system.


Your Agents will enhance most users' daily development process, providing a better experience and automating developers' routines.


You will:

  • Build the AI Team and create Agents
  • Hire and lead a small team of engineers (1-2) that move fast and deliver.
  • Spend at least 50% of your time coding.
  • Own delivery end-to-end, from ideation through iteration and delivery
  • Build a best-in-class team which establishes best practices and delivers quality outcomes
  • Mentor and guide Software Engineers, fostering a collaborative and innovative team environment.
  • Participate in on-call rotations to handle and resolve critical issues.


We're looking for someone who has

  • Experience building AI tools or Agents for Software Development
  • Proven experience in software development with a strong focus on backend technologies and databases.
  • Proficiency in any major backend language (Go or Rust preferred)
  • Previous experience in a tech or team lead role
  • Exposure to Infrastructure technologies such as Kubernetes, Docker, Github CI/CD, and public cloud
  • Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment.
  • Strong communication skills and the ability to articulate complex technical concepts to non-technical stakeholders.


If this sounds interesting to you and you have the skills needed, please apply.

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.

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.

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.

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.