6 дней назад
AI Engineer (Consultant)
50 000 - 69 000GBP
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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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