Senior AI Engineer (Generative AI / LLM Systems)

New
C
CerebreIndustrial AI
Locations: Poznań, 100% remote, Wrocław, 100% remote, Kraków, 100% remote, Warszawa, 100% remote, Trójmiasto, 100% remote, Poznań, Country code: PLFull-TimeSenior
Salary not disclosed
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Job Details

Languages
En B2
Experience
5+ years in software engineering, ML engineering, or applied AI
Required Skills
Python

Requirements

  • Bring 5+ years of experience in software engineering, ML engineering, or applied AI.
  • Have experience building AI systems that combine structured data with LLMs.
  • Have strong experience with RAG, embeddings, and retrieval systems.
  • Have experience building production AI systems, not only prototypes.
  • Bring strong Python and backend engineering experience.
  • Have experience designing scalable APIs and services.
  • Be able to own complex, ambiguous problems.
  • Preferred: experience with LLM agents or tool-based AI systems that interact with external systems through APIs or structured tools, including familiarity with MCP.
  • Preferred: knowledge graph or graph database experience.
  • Preferred: exposure to industrial systems, P&IDs, or engineering workflows.
  • Preferred: experience with PyTorch or TensorFlow, and distributed systems or cloud infrastructure.

Responsibilities

  • Design systems that enable LLMs to interpret and reason over PlantGraph, its ontology, graph queries, and engineering data.
  • Build chat-based interfaces for exploring facility systems, diagrams, equipment, and process relationships.
  • Combine graph queries, engineering documentation, and operational context to produce accurate, traceable AI outputs.
  • Develop APIs and tools that let AI agents interact with PlantGraph and platform capabilities reliably and safely.
  • Productionize AI prototypes as scalable APIs and services.
  • Optimize system performance and cost, and develop evaluation, monitoring, and reliability frameworks.
  • Work across engineering, ML, and domain teams to identify and address data, ontology, and system-design gaps.
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