Назад
Company hidden
4 часа назад

AI Research Engineer (LLM)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
AI Research Engineer (LLM): Building production LLM systems and agentic workflows that learn enterprise processes from knowledge bases, support conversations, tickets, logs, and agent traces with an accent on context learning, agent orchestration, and evaluation. Focus on designing continuous-learning loops, confidence scoring, scalable AI orchestration, and mechanisms that determine when to automate or escalate to a human.

Location: London, United Kingdom; on-site five days a week from the office

Company

hirify.global is a Series A startup building AI agents that learn how enterprise processes operate and execute those processes. The company is backed by Sequoia and other leading venture capital firms, with offices in New York and London.

What you will do

  • Build and extend the core context-learning library, turning customer-informed problems into reusable platform capabilities.
  • Design and implement LLM-powered systems and agentic workflows from concept through production.
  • Develop agents that edit, update, and maintain large knowledge bases autonomously.
  • Build continuous-learning loops using human corrections and production outcomes to identify knowledge gaps, detect changed procedures, and improve prompts and instructions.
  • Develop evaluation frameworks, confidence scoring, and escalation logic for deciding when to automate or involve a human.
  • Architect asynchronous, scalable systems for complex AI orchestration and contribute to AI strategy and product capabilities.

Requirements

  • Experience building a complex production LLM system, including explaining engineering decisions and changes made after real users adopted it.
  • Practical depth in one or more of context engineering, retrieval, agent orchestration, memory, evaluation, or learning from feedback.
  • Ability to turn ambiguous problems into testable hypotheses, establish baselines, and distinguish genuine improvements from noise.
  • Interest in open-ended problems where solutions may not yet exist.
  • Comfort working across research papers and production code.
  • Strong communication skills for explaining work to teammates and customers.
  • 3+ years of professional experience.

Culture & Benefits

  • In-person collaboration five days a week from the London or New York office.
  • Competitive base salary and meaningful equity.
  • Private medical and dental coverage in the UK; top-tier health, dental, and vision plans with 100% premium coverage in the US.
  • Flexible paid time off.
  • Lunch provided in the office most days, with snacks and drinks.
  • Workspace setup stipend.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →