Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чётко очерченная роль в растущей продуктовой компании сочетает разработку production AI-систем, современные LLM-подходы и хорошие условия для профессионального роста.
Современные AI-технологии
Понятная роль
Бюджет на обучение
AI для финансов
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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