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Senior Machine Learning Engineer

Primary stack

vLLMPythonTensorRT-LLM

Nice to have's

DynamoLLM-DKubernetes

Job description

About the Position

We are seeking a Senior Machine Learning Engineer with 5+ years of experience to join our team in Kraków, Poland. This role focuses on performance optimization and system integration for LLM-based systems.

Responsibilities

  • Build and maintain end-to-end integration flows across the AI inference pipeline (serving, orchestration, APIs, and infrastructure);
  • Design, implement, and optimize LLM inference workflows, including prefill and decode stages;
  • Improve system performance with a focus on throughput, latency, and interactivity;
  • Write production-grade components in Python and integrate them into the broader system;
  • Contribute to system-level logic such as smart hardware selection and execution strategies;
  • Integrate models (open source and custom), services, and APIs into cohesive, reliable end-to-end application pipelines.

Requirements

  • 5+ years of experience in software engineering or machine learning engineering;
  • Strong proficiency in Python;
  • Strong experience with LLM inference systems and performance optimization;
  • Hands-on experience with system integration and end-to-end workflows;
  • Experience with inference frameworks such as vLLM, TensorRT, SGLang, etc;
  • Experience working with GPU/accelerator-based systems.

Nice to Have

  • Hands-on experience with Dynamo and LLM-D for LLM inference and serving;
  • Familiarity with Kubernetes and cloud environments.

We Offer

  • Competitive salary up to 6000$ GROSS;
  • Opportunity to work in Kraków, Poland (office/hybrid).

About the Company

Join our team and contribute to the development of cutting-edge LLM-based systems.

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