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3 дня назад

Senior AI Engineer

Формат работы
remote (Global)
Тип работы
fulltime
Грейд
senior
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior AI Engineer (LLM/Agent Systems): Designing and shipping generative AI agent systems for employer admins and employees to use benefits data, with an accent on retrieval, data access, and production integration. Focus on building evaluation frameworks, distinguishing retrieval from generation failures, and preventing prompt injection and data boundary violations in a regulated context.

Location: Remote, with collaboration within +/- 4 hours of GMT

Company

hirify.global develops integrated benefits and embedded insurance products for modern workforces, serving employees at companies across Europe and globally.

What you will do

  • Design and ship AI agent systems from early experiments through production.
  • Own the data access layer, retrieval strategy, and integrations with Metabase, internal APIs, and existing infrastructure.
  • Build an evaluation framework with golden datasets, regression harnesses, and retrieval-versus-generation failure analysis.
  • Set the technical direction for AI agent architecture and identify opportunities to create product leverage.
  • Collaborate with the AI Product Lead and Platform team through technical decision-making, peer review, and documentation.
  • Expand the role and help shape the foundations of an early-stage AI pod.

Requirements

  • 5+ years of software engineering experience, including at least 2 years working directly on LLM or AI agent systems in production.
  • Strong understanding of agent architecture, context management, tool use, retrieval strategies, and prompt design.
  • Experience building evaluation frameworks, including golden datasets, regression testing, and retrieval-versus-generation failure analysis.
  • Comfort working across the stack.
  • Clear written communication and the ability to explain technical decisions precisely to non-technical stakeholders.
  • Availability for collaboration within +/- 4 hours of GMT

Nice to have

  • Experience in fintech, payroll, HR technology, or employee benefits.
  • Experience with AWS, Azure, or the broader Microsoft ecosystem.
  • Experience generating synthetic evaluation data before real usage data is available.
  • Experience in early-stage or scale-up environments with evolving architecture.

Culture & Benefits

  • Remote-first working style with a distributed team.
  • Health insurance with a generous allowance.
  • Workplace pension with matched contributions up to 5%.
  • Work-from-home stipend and 25 days of paid time off.
  • Annual company-wide and dedicated team offsites.
  • Stock options for all employees.

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