6 дней назад
AI Engineer (Senior Consultant)
60 000 - 80 000GBP
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Engineer (Senior 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, integrating evolving frameworks such as MCP and A2A, and driving pragmatic AI adoption across engineering teams.
Location: Leeds, United Kingdom (Hybrid)
Salary: £60,000–£80,000 per annum
Company
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 using RAG pipelines, agent architectures, LLM integrations, and protocol-driven tooling.
- Help design internal AI tools that accelerate technology delivery.
- Support technical AI knowledge-sharing through the internal upskilling programme.
- Evaluate emerging AI tools, frameworks, and protocols and help drive pragmatic AI adoption across engineering teams.
Requirements
- Strong software engineering foundations, including clean code, testing, CI/CD, and a production mindset.
- Hands-on experience with LLMs through API integrations, prompt engineering, agent workflows, or RAG systems; personal projects are accepted.
- 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 client-facing work.
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 engineering role focused on building rather than AI research.
- Close collaboration with the CTO and engineering leadership.
- Opportunity to shape an AI-native consultancy and contribute to internal technical capability.
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