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T-Hub - AI Agents & LLM Engineer

T-MobilePolskaPolska

Źródło:TheProtocol.it
Rodzaj zatrudnienia
Rodzaj zatrudnieniaPełny etat
Doświadczenie
DoświadczenieSenior
Dodano
Dodano3 sierpnia 2026
Wykryte przez nas
Wykryte przez nas4 sierpnia 2026
Zarobki
ZarobkiDo uzgodnienia

T-Mobile is looking for an experienced AI Agents & LLM Engineer to join the T-Hub team. In this role, you will design, build, and deploy advanced AI solutions, focusing on enterprise-grade production applications that leverage LLMs, agentic workflows, and multi-agent architectures to drive innovation in the telecommunications sector.

Key responsibilities

  • Design and implement AI-powered applications utilizing RAG, agentic workflows, and tool-calling frameworks.
  • Build and optimize scalable data pipelines for training, validation, and inference.
  • Implement robust MLOps and LLMOps processes, including automated testing, deployment, monitoring, and guardrails.
  • Design agent orchestration frameworks and advanced reasoning workflows for autonomous systems.
  • Collaborate with cross-functional teams to integrate AI models into production systems while ensuring security and reliability.

Requirements

  • Minimum 5 years of experience in Software Engineering, Machine Learning, or AI-related roles.
  • Strong hands-on experience deploying AI agents and LLM-based applications in production.
  • Expert-level proficiency in Python and modern AI frameworks like LangChain, LangGraph, or CrewAI.
  • Deep understanding of Transformer architectures, vector databases, and prompt engineering.
  • Strong knowledge of software architecture, API development, and distributed systems.

What we offer

  • Opportunity to work at the forefront of modern technologies, including 5G, IoT, and AI.
  • Access to professional training, courses, and continuous learning opportunities.
  • Comprehensive benefits package including private medical care, life insurance, and sports activity subsidies.
  • Flexible working environment with a focus on innovation and professional growth.

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