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6 дней назад

Software Engineer - AI

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

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TL;DR

Software Engineer - AI: Owning the technical governance of generative AI and machine learning tools across the enterprise with an accent on translating complex policies into practical guardrails, evaluating new AI capabilities, and ensuring compliance. Focus on mitigating AI-specific risks, optimizing innovation velocity, and maintaining a balance between risk, cost, and compliance.

Location: Amsterdam, The Netherlands

Company

hirify.global is a company specializing in software engineering.

What you will do

  • Design, implement, and maintain the technical governance framework for GenAI/LLM tools and integrations.
  • Evaluate, approve, onboard, monitor, and retire third-party and open-source AI tools.
  • Build and operate usage monitoring, cost tracking, compliance dashboards, and automated audit trails.
  • Partner with Legal, Security, Compliance, Procurement, and Engineering to translate policies into enforceable technical controls.
  • Identify and mitigate AI-specific risks such as prompt injection, data leakage, and model misuse.
  • Develop and deliver training, playbooks, workshops, and documentation.

Requirements

  • Strong software engineering background with a deep understanding of development lifecycles, CI/CD, APIs, integrations, and versioning.
  • Hands-on knowledge of the modern GenAI/ML stack, including LLMs, embeddings, vector stores, and orchestration tools.
  • Solid experience with at least one major cloud provider (Azure or AWS).
  • Proven ability to interpret security, privacy, data-classification, and responsible AI policies.
  • Strong grasp of AI-specific security risks and mitigation patterns.
  • Experience implementing identity & access governance for AI systems.

Nice to have

  • Prior prompt engineering or red-teaming experience.
  • Familiarity with enterprise AI orchestration platforms.
  • Experience with policies-as-code, audit automation, or infrastructure-as-code approaches to governance.
  • Contributions to responsible AI frameworks or previous work in highly regulated industries.

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