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Senior AI Platform Engineer (Remote | Portugal Based)

emagine PolskaPortugaliaPortugalia

Źródło:JustJoin.it
Rodzaj zatrudnienia
Rodzaj zatrudnieniaPełny etat
Doświadczenie
DoświadczenieSenior
Dodano
Dodano31 lipca 2026
Wykryte przez nas
Wykryte przez nas1 sierpnia 2026
Zarobki
ZarobkiDo uzgodnienia

emagine Polska is seeking a Senior AI Platform Engineer to join the Developer Experience team as a founding member of our Engineering Intelligence unit. You will architect foundational AI-native workflows, building the agentic frameworks and abstractions that redefine how our R&D organization interacts with codebases.

Key responsibilities

  • Architect and implement complex AI-native workflows, including multi-agent systems and codebase-specific RAG.
  • Define core constructs for Skills, Agents, and Commands to automate and reinvent the developer lifecycle.
  • Integrate internal toolchains with the Model Context Protocol to create a unified, actionable context for AI agents.
  • Develop telemetry and signals to track engineering health metrics and identify development bottlenecks.
  • Lead Proof of Concepts and act as a technical consultant to drive the adoption of AI-native workflows across R&D teams.

Requirements

  • 5+ years of software engineering experience with a focus on building scalable tools for developers.
  • 2+ years of hands-on experience in the AI/Agentic space, specifically with LLM orchestration and framework design.
  • High proficiency in multiple languages such as Python, JavaScript/TypeScript, Go, Bash, or PowerShell.
  • Deep understanding of the Model Context Protocol, plugin architectures, and developer-facing tooling.
  • Strong systems thinking skills with the ability to translate complex manual processes into automated constructs.

What we offer

  • Opportunity to shape the future of AI-native development within a forward-thinking R&D organization.
  • Fully remote work environment allowing for flexibility and focus on high-impact engineering tasks.
  • Collaborative culture focused on technical advocacy, data-driven decision-making, and continuous improvement.

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