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Junior / Graduate AI Engineer

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Onsite

Junior / Graduate AI Engineer

Enablis

Junior / Graduate AI Engineer

Skills

Google Cloud PlatformTypescriptPythonAIAWS

10 days ago

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Important information


Contract type:

Permanent

Location:

London, UK

Work mode:

Onsite

Published on:

15 October 2026

What they need


Graduate / Junior Deployed AI Engineer

Permanent | Hybrid (Farringdon)

About Enablis

At Enablis, we deliver complex, high-impact technology transformation. We're building a genuinely AI-native consultancy, not just experimenting, but embedding AI into how we deliver, how we operate, and how we grow. We are the case study: Enablis runs AI-first, so every recommendation comes from practitioners.

The Role

This is an opportunity to build your career at the intersection of software engineering, AI and client delivery. Working alongside experienced engineers and delivery leads, you'll help build AI solutions that solve real business problems.

You'll be involved throughout the development process, from exploring client challenges and building prototypes to testing solutions and helping turn successful proofs of concept into production-ready products. You'll also contribute to our internal AI platform, developing reusable tools and approaches to improve future delivery.

What You'll Be Doing

  • Building AI prototypes and applications using real client data
  • Working with LLMs, RAG pipelines, AI agents and tool integrations
  • Developing and improving solutions through regular feedback and iteration
  • Testing AI applications, implementing guardrails and improving reliability
  • Integrating data and systems within real-world technical and security constraints
  • Contributing to internal AI tools, templates and reusable solutions
  • Exploring emerging AI technologies and identifying practical use cases

What We're Looking For

Essential

  • Strong programming fundamentals in a language such as Python or TypeScript
  • An understanding of software engineering principles, including testing and clean code
  • A genuine interest in AI engineering, including LLMs, RAG, agents and prompt engineering
  • Practical examples from university projects, personal projects, placements or commercial experience
  • Curiosity about full-stack development, cloud technologies and building end-to-end solutions
  • Strong problem-solving and communication skills, with a willingness to learn and take initiative

Desirable

  • Exposure to vector databases, embeddings or fine-tuning
  • Familiarity with AWS or Google Cloud
  • Experience with AI-assisted coding tools
  • Personal AI projects, open-source contributions or startup experience

Apply today

Become an Enabler! We’re looking for passionate, talented tech experts who want to work on projects that matter.

We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation, or age.

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