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2 часа назад

Senior AI Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Spain
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Senior AI Engineer (Agentic AI): Lead architecture and delivery of AI-powered platforms for engineering and commerce systems with an accent on agentic systems, SDLC enablement, and production-ready patterns. Focus on context engineering, observability, governance, and scalable AI adoption across teams.

Location: Madrid, Spain (Hybrid: 60% office, 40% home)

Company

Trailblazers in pet e-commerce with over 25 years experience, serving 12 million customers across offices in Munich, Madrid, Krakow, Wroclaw, London, and Vienna.

What you will do

  • Lead architecture and delivery of AI and agentic platforms across engineering and commerce systems
  • Define production-ready patterns for agentic systems including planning, memory, recovery, and safety
  • Drive AI-powered SDLC initiatives across coding, testing, review, and release
  • Build reusable capability layers for scalable AI adoption
  • Own context engineering practices including grounding, retrieval, memory, and evaluation
  • Establish observability, governance, and guardrails for LLM integrations
  • Collaborate across engineering, product, platform, security, and data teams
  • Act as technical lead for complex initiatives and critical design decisions

Requirements

  • 5+ years software engineering in distributed systems
  • Strong experience with microservices and event-driven architectures
  • Strong programming in Java, Python, JavaScript, or Kotlin
  • Production experience with LLM integrations (Azure OpenAI, OpenAI, Bedrock)
  • Strong understanding of RAG systems, embeddings, retrieval, and vector databases
  • Experience with Docker, Kubernetes, Terraform, and CI/CD pipelines
  • Proven technical leadership across teams

Nice to have

  • Experience with LangChain, LlamaIndex, AutoGen, CrewAI, or Semantic Kernel
  • Exposure to experimentation and feature flag platforms
  • Strong understanding of AI security, privacy, and cost optimisation
  • Experience in retail, commerce, or high-scale consumer platforms

Culture & Benefits

  • Hybrid working model (up to 40% home office per month)
  • 28 annual vacation days
  • Private medical health insurance
  • Option to work 20 days abroad in approved countries
  • Development opportunities, training, wellbeing offers, subsidised transport or bike leasing
  • 20% discount on products

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