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Чётко очерченная руководящая роль сочетает разработку GenAI-систем, ответственность за их работу в продакшене и развитие команды. У продуктовой компании уже есть реальные внедрения и понятный план развития платформы.
Актуальные AI-технологии
Понятная зона ответственности
Влияние на продукт
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Lead Generative AI Engineer (GenAI): Building shared foundations and product-facing AI systems for an online car-selling marketplace with an accent on retrieval quality, evaluation infrastructure, production reliability, and scalable data pipelines. Focus on designing robust GenAI architecture, solving safety and reliability problems, and developing senior engineers through hands-on technical leadership.
Location: London, UK; hybrid work with 2 days per week in the London office
Company
hirify.global is the UK's largest online car-selling platform, connecting private sellers with more than 8,000 dealers through a technology-led marketplace.
What you will do
Set architecture and engineering standards for complex, product-facing GenAI systems.
Review and sign off materially complex AI systems, identifying architectural, safety, and reliability risks before production.
Build shared foundations for retrieval, evaluation, data pipelines, and developer tooling.
Implement difficult technical components and act as the escalation point for complex GenAI problems.
Design systems with graceful degradation, fallback behaviour, production-scale affordability, and low latency.
Develop senior engineers and shape hiring and engineering review standards.
Requirements
Experience setting technical direction that engineering teams adopted, including the ability to explain successes and failures.
Strong Python and practical SQL experience, including grounding data, golden datasets, and failure analysis.
Deep current expertise in retrieval at scale, vector stores, agentic orchestration, multimodal systems, evaluation infrastructure, and appropriate fine-tuning.
Fluency in MLOps tooling, deployment, and cloud infrastructure, including AWS and GCP.
Experience designing production systems and ownership when systems failed.
A strong perspective on evaluation and the ability to distinguish regression-detecting evaluations from reassuring but weak evaluations.
Direct contributions that set a high quality standard for other engineers.
Ability to explain complex technical trade-offs to non-technical stakeholders without losing substance.
Self-awareness about knowledge limits and the instinct to involve relevant expertise early.
Nice to have
Preference for simple, effective systems over unnecessarily clever solutions.
Experience improving other engineers through talks, reviews, or day-to-day collaboration.
Ability to balance a two-to-three-year technical view with current delivery.
Culture & Benefits
Player-coach environment focused on hands-on technical contribution and developing senior engineers.
25 days of holiday, private medical insurance via BUPA, life assurance, and a pension scheme with a 5% company contribution.
Enhanced family leave, including up to 26 weeks of full-pay maternity or adoption leave.
Equity scheme, EV leasing, cycle-to-work, nursery salary sacrifice, and a 24/7 Employee Assistance Programme.
Flexible hybrid working with office socials and snacks, plus one paid volunteering day per year.
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