Чёткая зона ответственности на senior-уровне, работа с production AI и значимые государственные кейсы делают вакансию сильной; при этом в роль входит и работа с клиентами.
?Работа с заказчиками
Понятная зона ответственности
Сильный AI-фокус
Государственные проекты
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Applied AI Engineer (AI): Owning and advancing the AI layer of production systems for public sector clients with an accent on production agents, model integration, evaluation, and reliable backend services. Focus on designing evaluations tied to real-world outcomes, investigating regressions, handling sensitive data, and leading client-facing delivery.
Location: London, UK
Company
Scale AI develops reliable AI systems, high-quality data, and full-stack technologies for enterprises and governments building, deploying, and overseeing AI applications.
What you will do
Own the AI layer of production systems for public sector clients, including agents, model integration, and backend services.
Build production agents with reliable tool calling, guardrails, and observability.
Select and design evaluations for client-specific risks and apply context engineering, retrieval-augmented generation, model adaptation, and inference optimization.
Investigate production regressions, lead root-cause analysis, and implement preventative changes.
Lead workstream planning, manage client expectations, and act as the technical point of contact for AI performance on live data.
Turn recurring client work into reusable tooling and guidance while mentoring engineers through reviews, pairing, and delegated ownership.
Requirements
Backend engineering experience taking AI/ML systems into production and keeping them reliable.
End-to-end ownership of the AI behavior of a production system rather than delivery of a component scoped by another team.
Hands-on evaluation design connecting model behavior to real-world outcomes and catching regressions.
Ability to work directly with clients and explain model behavior and trade-offs to non-technical stakeholders.
Practical knowledge of regulated or sensitive data and auditability requirements.
Experience leading root-cause analysis on production AI or ML systems.
Nice to have
Sovereign or on-premise deployment experience.
Culture & Benefits
Work on AI systems supporting important public-sector decisions and applications.
Inclusive and equal opportunity workplace with reasonable accommodations available during the application and recruiting process.
Scale AI works with enterprises, governments, and industry organizations on production AI applications.
Hiring process
Candidates may not be reconsidered for the same role until a 90-day waiting period has passed after an evaluation.
Applicants requiring disability-related assistance or reasonable accommodation may contact accommodations@scale.com.
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