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2 дня назад

GenAI Engineer (Senior)

Формат работы
hybrid
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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Текст:
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TL;DR
GenAI Engineer (Senior) (LLM/LLMOps): Building multi-agent AI integration layers and scalable AI solutions with an accent on LLM architectures, model optimization, cloud deployment, and observability. Focus on launching projects from scratch, improving CI/CD and infrastructure, and solving complex performance, monitoring, and stakeholder requirements.

Location: Amsterdam, Netherlands; hybrid setup with no mandatory office days

Company

hirify.global develops ethical and impactful AI solutions through data engineering, user experience, and strategy for international clients.

What you will do

  • Implement AI integration layers supporting multi-agent approaches and experiment with emerging AI and LLM technologies.
  • Launch AI projects from scratch and establish scalable, maintainable engineering practices.
  • Build and improve CI/CD pipelines, monitoring, logging, alerting, and unit tests.
  • Optimize backend and website performance through benchmarking and engineering improvements.
  • Use infrastructure tools including Terraform, Docker, and Helm.
  • Work with business stakeholders and delivery teams to gather requirements, coordinate Agile work, and deploy solutions.

Requirements

  • Senior-level experience developing AI solutions involving LLMs, agentic architectures, NLP, or computer vision.
  • Strong Python skills and experience with LangChain, LlamaIndex, or similar frameworks.
  • Experience building AI pipelines, optimizing models, deploying solutions, and applying LLMOps practices.
  • Knowledge of AWS, GCP, or Azure; Docker, Kubernetes, Git, CI/CD, testing, and model traceability tools such as LangFuse or LangSmith.
  • Strong stakeholder management skills from requirements elicitation through deployment and DevOps.
  • Excellent written and verbal English is required.

Nice to have

  • AWS Certified Solutions Architect – Professional or AWS Certified Data Analytics certification.
  • Snowflake certifications or experience with Streams & Tasks, Snowpipe, data sharing, or governance.
  • Knowledge of additional languages.

Culture & Benefits

  • Hybrid flexibility with no mandatory office days.
  • Multicultural environment with social events, activities, and an annual company retreat.
  • €1000 annual learning budget, mentorship, a growth framework, and annual reviews.
  • 25 days of holidays, an NS business card, and holiday allowance.
  • Inclusive workplace focused on ethical AI, diversity, accessibility, and respectful collaboration.

Hiring process

  • Apply through the company recruitment process and indicate any accessibility support needed.

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