Enablis
AI Engineer (Consultant)
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AI Engineer (Consultant)
Permanent | London (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 is a hands-on AI Engineering role at Consultant level. You'll work alongside our CTO and engineering leadership, contributing to our internal AI platform and helping build AI solutions for client projects.
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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
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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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