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6 дней назад

Senior Software Engineer (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
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

Senior Software Engineer (AI): Owns the technical governance of generative AI and machine learning tools across the enterprise with an accent on software engineering, security, and compliance. Focus on translating complex policies into practical guardrails, evaluating new AI capabilities, and mitigating AI-specific risks to ensure compliance.

Location: Amsterdam, The Netherlands

Company

hirify.global is a company.

What you will do

  • Design, implement, and maintain the technical governance framework for GenAI/LLM tools.
  • 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: prompt injection, data leakage, model misuse, training-data exposure, etc.

Requirements

  • Strong software engineering background with deep understanding of development lifecycles, CI/CD, APIs, integrations, and versioning.
  • Hands-on knowledge of modern GenAI/ML stack: LLMs, embeddings, vector stores, RAG, model endpoints, agents, and orchestration tools.
  • Solid experience with at least one major cloud provider (Azure or AWS) – especially AI/ML services, networking, IAM, and governance features.
  • Proven ability to interpret security, privacy, data-classification, and responsible AI policies and turn them into practical technical controls.
  • Strong grasp of AI-specific security risks and mitigation patterns.
  • Demonstrated skill in cross-functional collaboration and communicating complex technical and risk concepts to non-technical stakeholders.

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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