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 is central to taking that capability to the next level.
The Role
This is a hands‑on AI Engineering role. You’ll be the technical engine behind our AI capability, building production‑grade AI solutions for both clients and internal use.
You’ll work directly with our CTO and engineering leadership to extend and scale our internal AI platform while delivering cutting‑edge AI solutions into real‑world client environments.
What You’ll Be Doing
- Owning and evolving our internal AI platform
- Building AI‑powered client solutions: RAG pipelines, agent architectures, LLM integrations, protocol‑driven tooling
- Designing internal AI tooling to accelerate delivery
- Leading advanced technical AI sessions within our upskilling programme
- Evaluating emerging AI tools, frameworks and protocols
- Supporting pragmatic AI adoption across engineering teams
What We’re Looking For
- Strong software engineering foundations (clean code, testing, CI/CD, production mindset)
- Hands‑on experience with LLMs (API integrations, prompt engineering, agent workflows, RAG systems)
- Experience shipping AI‑powered features to production
- Proficiency in 2+ modern programming languages
- Familiarity with evolving AI tooling (MCP, A2A, Threads or similar)
- Consultancy or client‑facing delivery experience
- Vector databases, embeddings, fine‑tuning
- Cloud experience (AWS preferred)
- Open‑source contributions or visible AI side projects
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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