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2 дня назад

Lead AI Engineer

Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Lead AI Engineer (LLMs/RAG): Designing and delivering enterprise-grade AI systems and Digital Workers that automate complex decision-making, analytics, and operational workflows with an accent on agentic architectures, multi-agent coordination, knowledge retrieval, and enterprise data integration. Focus on translating ambiguous business challenges into scalable system designs, leading end-to-end production delivery, and ensuring reliability and performance in real-world environments.

Location: London, England, United Kingdom; hybrid work with office attendance 1–2 days per week. The final interview stage is onsite in Hammersmith.

Company

hirify.global builds a Digital Worker Factory for deploying and managing autonomous AI systems that automate enterprise decision-making, analytics, and operational workflows, with a particular focus on pharmaceutical and life sciences organizations.

What you will do

  • Work directly with enterprise clients to understand complex operational and analytical workflows.
  • Translate ambiguous business challenges into technical strategies and scalable system designs.
  • Design AI architectures and agentic systems combining LLMs, multi-agent orchestration, and knowledge retrieval.
  • Break down initiatives into structured engineering plans and drive execution across teams.
  • Lead technical delivery from architecture through production deployment and iteration.
  • Guide engineers through implementation decisions and provide technical leadership.

Requirements

  • Deep hands-on experience building and deploying production-grade AI systems using LLMs, RAG pipelines, MCPs, and agentic workflows.
  • Experience leading complex, client-facing engagements and partnering with technical and business stakeholders.
  • Strong system design and architecture expertise, including translating ambiguous business challenges into reliable AI solutions.
  • Experience guiding technical projects, setting technical direction, and driving delivery to measurable outcomes.
  • Solid understanding of evaluation, reliability, and performance in production AI systems.
  • Experience with Python, modern LLM frameworks, orchestration tools, and cloud platforms such as AWS, GCP, or Azure.

Culture & Benefits

  • Intellectual rigour, ownership, and a strong focus on achieving results.
  • 25 days of paid holiday plus bank holidays, with options to carry over or sell up to 5 days.
  • Share options, pension scheme, and life cover equivalent to four times annual basic salary.
  • Health and dental insurance options, special discounts, and a cycle-to-work scheme.
  • Learning and development budget, work-abroad days, team outings, and office snacks and drinks.

Hiring process

  • Recruiter screen followed by a 30-minute hiring manager or team interview.
  • Three-hour take-home challenge covering structured thinking and practical coding or problem-solving.
  • Onsite Hammersmith stage with three technical interviews and a founders or executives interview.

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