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Senior AI Engineer (Generative AI / LLM Systems)

cerebreCały światCały świat

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

Cerebre is building an AI-native platform that helps industrial companies understand and operate complex facilities. We are looking for a Senior AI Engineer to help us integrate advanced AI capabilities into our PlantGraph knowledge graph, enabling natural language interaction and graph-aware reasoning over engineering systems.

Key responsibilities

  • Design systems that allow LLMs to interpret and reason over PlantGraph, combining graph queries and engineering data into reliable outputs.
  • Build chat-based experiences that allow users to explore facility systems, navigate diagrams, and query equipment relationships.
  • Develop orchestration systems that combine graph queries, engineering documentation, and operational context for accurate AI outputs.
  • Design APIs and tools that allow AI agents to interact with the platform in an observable and production-safe manner.
  • Turn prototypes into scalable production systems with robust evaluation, monitoring, and reliability frameworks.

Requirements

  • 5+ years of experience in software engineering, ML engineering, or applied AI.
  • Strong experience building production-grade AI systems that combine structured data with LLMs.
  • Deep knowledge of RAG, embeddings, and retrieval systems.
  • Strong Python and backend engineering skills with experience designing scalable APIs.
  • Ability to take ownership of complex, ambiguous problems in a high-impact domain.

What we offer

  • The opportunity to work on real-world AI problems that impact industrial infrastructure.
  • A collaborative environment blending manufacturing process knowledge with advanced software engineering.
  • Exposure to cutting-edge AI architectures, ML Ops, and platform engineering practices.
  • The chance to build reliable, explainable AI systems that go beyond generic chatbot applications.

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