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2 дня назад

Senior AI Engineer (AI Enablement)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
France/Greece
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior AI Engineer (AI Enablement) (LLM agents and internal AI platform): Building and operating production-grade AI agents, assistants, shared frameworks, knowledge-base pipelines, and integrations for company-wide AI adoption with an accent on reliability, observability, security, and measurable business impact. Focus on designing RAG and agent systems, implementing responsible-AI guardrails, integrating SaaS and internal services, and optimizing production performance and cost.

Location: Paris or Athens; hybrid workplace

Company

hirify.global's Engineering Cloud Platform department is developing internal capabilities for company-wide AI adoption.

What you will do

  • Design, build, and operate production-grade AI agents, assistants, and automations for internal functions.
  • Build shared platform foundations, including frameworks, knowledge-base pipelines, evaluation tooling, and reusable integrations.
  • Work with functional champions to understand workflows and deliver high-leverage automation solutions.
  • Implement security guardrails, data privacy, auditability, and human-in-the-loop practices.
  • Measure adoption, quality, cost, and time savings, while maintaining reliability, observability, and incident response processes.
  • Contribute to AI-assisted engineering practices, documentation, mentoring, hiring, and onboarding.

Requirements

  • 5+ years of software engineering experience building and operating production systems end-to-end.
  • Production experience with LLM-powered features, agents, or AI tooling.
  • Strong programming skills in Python and/or TypeScript.
  • Experience with model APIs, agent frameworks, prompt and context engineering, RAG, and knowledge bases.
  • Strong foundations in system design, APIs, databases, application architecture, SaaS integrations, and data pipelines.
  • Experience with cloud environments, preferably AWS, CI/CD, and containerisation, plus practical AI security and data-privacy knowledge.

Nice to have

  • Experience with MCP-style tool interfaces, multi-agent systems, or agent frameworks.
  • Experience with RAG and knowledge-base systems, LLM evaluation, or observability tooling.
  • Background in internal tools, platform tooling, developer-experience products, LLM cost optimization, or full-stack development.

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