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2 дня назад

Agentic Staff Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
France
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Agentic Staff Engineer (AI): Designing and operating data pipelines and evaluation workflows for reliable AI systems with an accent on multi-step agentic workflows, memory, and planning. Focus on building the internal agent orchestration stack, establishing engineering standards for reliability, and leading cross-team AI initiatives.

Location: Hybrid (Paris/Issy-les-Moulineaux, France)

Company

hirify.global is a global video platform offering a visual conversation experience and professional broadcasting solutions for businesses.

What you will do

  • Own the technical vision and architecture for agentic systems involving multi-step workflows, memory, and planning.
  • Design and evolve the internal agent orchestration stack, including tool registries, permissions, and state management.
  • Define engineering standards for reliability, focusing on traceability, deterministic replay, and evaluation harnesses.
  • Lead cross-team initiatives between Product, Data, Infrastructure, and ML to ensure delivery across organizational boundaries.
  • Establish platform patterns for model routing on Vertex AI, caching strategies, and observability.
  • Implement safety and compliance controls, including prompt-injection defenses and data access governance.

Requirements

  • English: Professional proficiency required (written and spoken).
  • Extensive experience designing and operating large-scale distributed systems in production.
  • Deep understanding of agentic patterns, including tool/function calling, orchestration, and memory.
  • Proven track record of technical leadership and influencing roadmaps across multiple teams.
  • Strong system design skills for multi-tenant architectures and data governance.
  • Location: Must be based in France.

Nice to have

  • Experience building large-scale evaluation systems, synthetic data, and human review pipelines.
  • Strong understanding of privacy-by-design and compliance for user/content data (PII).
  • Experience with retrieval systems (vector search, hybrid retrieval, ranking) and LLM cost-control.
  • Familiarity with event-driven workflow patterns (queues, retries, saga patterns).

Culture & Benefits

  • Hybrid work framework with the possibility to work abroad for up to 3 months.
  • High-end health insurance and personal services vouchers (CESU).
  • Comprehensive career development support, including training and internal mobility.
  • Meal vouchers, public transport, and bike refunds.
  • Fitness subscription via Gymlib and various corporate gift vouchers.

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