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6 дней назад

AI Engineer (Consultant)

50 000 - 69 000GBP
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
AI Engineer (Consultant) (AI/LLM): Building an internal AI platform and AI-powered client solutions with an accent on RAG pipelines, agent architectures, LLM integrations, and protocol-driven tooling. Focus on designing production-minded AI systems, developing internal delivery tooling, and driving pragmatic AI adoption across engineering teams.

Location: London, UK (Hybrid)

Salary: £50,000–£69,000 per annum

Company

Enablis delivers complex, high-impact technology transformation and is building an AI-native consultancy with an internal AI platform and a growing client pipeline.

What you will do

  • Contribute to the development of the internal AI platform.
  • Build AI-powered client solutions, including RAG pipelines, agent architectures, LLM integrations, and protocol-driven tooling.
  • Design internal AI tooling that accelerates delivery.
  • Support the technical AI knowledge-sharing and upskilling programme.
  • Evaluate emerging AI tools, frameworks, and protocols while helping engineering teams adopt AI pragmatically.

Requirements

  • Strong software engineering foundations, including clean code, testing, CI/CD, and a production mindset.
  • Hands-on LLM experience through professional or personal projects, including API integrations, prompt engineering, agent workflows, or RAG systems.
  • Proficiency in at least two modern programming languages.
  • Awareness of evolving AI tooling such as MCP, A2A, or similar protocols.
  • Consultancy or client-facing experience, or a strong interest in moving into consultancy.

Nice to have

  • Experience with vector databases, embeddings, or fine-tuning.
  • Cloud experience, preferably AWS.
  • Open-source contributions or visible AI side projects.
  • Experience shipping AI-powered features to production.

Culture & Benefits

  • Hands-on builder role focused on practical AI engineering rather than research.
  • Opportunity to work with the CTO and engineering leadership on internal and client-facing AI initiatives.
  • Hybrid working arrangement in London.

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