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3 дня назад

AI Engineer (Python/LLM)

65 000 - 75 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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Описание вакансии

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TL;DR
AI Engineer (Python/LLM): Building production AI systems and agent-based workflows for documents, email, and financial data with an accent on machine learning, large language models, and reliable software engineering. Focus on designing multi-step reasoning systems, adapting models across text, vision, and structured data, and evaluating accuracy, latency, cost, and reliability in production.

Location: London, UK; hybrid working with two days per week at the Hoxton office

Salary: £65,000–£75,000 per year, depending on experience

Company

hirify.global builds AI solutions that automate and strengthen financial controls for Accounts Payable teams.

What you will do

  • Design and build production AI systems, including agent-based workflows, tool use, and multi-step reasoning.
  • Develop and improve models across text, vision, and structured data using fine-tuning and hybrid ML/LLM approaches.
  • Work with hosted and self-hosted models and contribute to model selection, performance, and cost decisions.
  • Write clean, maintainable Python for scalable and observable production systems.
  • Design evaluations, measure performance rigorously, and improve systems using real-world feedback.
  • Collaborate with product and engineering teams to deliver high-impact features using AI-assisted development tools.

Requirements

  • 2–5 years of experience building and shipping ML or AI-powered systems into production.
  • Clean, testable Python, solid software design, and experience working in production environments.
  • Experience with traditional ML, LLM systems, or both, including prompting, tool use, evaluations, or agents.
  • Ability to reason about accuracy, latency, cost, and reliability trade-offs and design systems accordingly.
  • SQL, pandas, and experience working with messy real-world data.
  • Comfort using AI-assisted coding tools effectively.
  • Curiosity, ownership, proactive exploration of new approaches, and a strong cross-functional working style.

Culture & Benefits

  • Hybrid work with two days per week from a dog-friendly Hoxton office, including an on-site gym and cycle-to-work scheme.
  • 27 days of annual leave, including three Christmas closing days, with tenure increases and the option to roll over, buy, or sell up to three days.
  • Private medical and dental cover, enhanced parental leave pay, and discounts at over 100 retailers.
  • £1,000 personal annual learning and development budget.
  • Team socials, activities, and an annual team retreat.
  • Full-time position with standard working hours from 9:00 AM to 6:00 PM, Monday through Friday.

Hiring process

  • Introductory Teams call with a Talent Partner, followed by a 30–45 minute Hiring Manager Teams interview.
  • Role-relevant technical task or presentation.
  • Final on-site interview at the office with senior leadership and co-founders. Responsible AI use is welcome for preparation, but AI-generated answers are not permitted during live interviews.

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