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Temporary/CasualTechnology

Lead Deployed AI Engineer

EnablisHyde Park, Leeds🇬🇧United Kingdom

Why this role stands out

This hybrid role offers a fantastic opportunity to be at the forefront of AI-native consulting, shaping impactful client solutions and contributing to a cutting-edge internal platform. You'll thrive here if you're a seasoned engineer eager to own end-to-end technical execution and drive pragmatic AI adoption within a dynamic team environment, with a competitive salary of GBP 80,000 - 100,000. Apply now to lead technical innovation and accelerate your career in a rapidly growing field.

Quick overview

Salary£80k - £100k/yr
SeniorityMid Senior
Employment typeTemporary/Casual
Work modeHybrid
LocationHyde Park, Leeds, United Kingdom
AWSLLMPrompt EngineeringCI/CDRAGSystem Design

Job description

Lead Deployed AI Engineer

£80,000 - £100,000

Permanent | Leeds (Hybrid)

About Enablis

At Enablis, we deliver complex, high-impact technology transformation. We're now building a genuinely AI-native consultancy, not just experimenting, but embedding AI into how we deliver, how we operate, and how we grow.

We already have a live internal AI platform in development and a growing client pipeline. This hire will play a key part in taking that capability forward.

The Role

This role is the technical spearhead of our new-world work. Your responsibilities look like those of a startup CTO: you'll work in a small pod - typically with a Delivery Lead - and own end-to-end technical execution of client engagements: scoping, system design, build and rollout. Forward-deployed means exactly that: inside the client's environment, on their real data, within their security model.

A working prototype exists within the first days of an engagement; feedback lands every couple of days; a proven POC becomes an MVP within weeks. Between engagements, you extend our internal AI platform and codify what you proved in the field into the accelerators, templates and playbooks that make every engagement faster than the last.

What You'll Be Doing

  • Contributing to the development of our internal AI platform
  • Building AI-powered client solutions: RAG pipelines, agent architectures, LLM integrations, protocol-driven tooling
  • Helping design internal AI tooling to accelerate delivery
  • Supporting our upskilling programme with technical AI knowledge-sharing
  • Keeping across emerging AI tools, frameworks and protocols
  • Helping drive pragmatic AI adoption across engineering teams

What We're Looking For

Essential:

  • Strong software engineering foundations (clean code, testing, CI/CD, production mindset)
  • Hands-on experience with LLMs - this can come from personal projects, not just professional work (API integrations, prompt engineering, agent workflows, RAG systems)
  • Proficiency in 2+ modern programming languages
  • Awareness of evolving AI tooling (MCP, A2A, or similar)
  • Some consultancy or client-facing experience, or a strong interest in moving into it

Desirable:

  • Vector databases, embeddings, fine-tuning
  • Cloud experience (AWS preferred)
  • Open-source contributions or visible AI side projects
  • Experience shipping AI-powered features to production

This is not a research role. We're looking for builders.

If you want to help shape a consultancy that's genuinely transforming around AI - we'd love to speak.

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