Emporix

AI Engineer – Remote Friendly

Emporix

full-time

Posted on:

Location Type: Hybrid

Location: Gliwice • Poland

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Tech Stack

CloudGoogle Cloud PlatformPythonPyTorchTensorflow

About the role

  • LLM & SLM Development - Fine-tune and optimize LLMs and SLMs on domain-specific datasets to enhance relevance and performance.
  • Build and iterate on custom models tailored to business-specific needs and customer workflows.
  • Evaluate models for accuracy, latency, cost, and robustness in real-world scenarios.
  • RAG & System Integration - Design and implement retrieval-augmented generation (RAG) pipelines.
  • Work closely with backend engineers to integrate models into microservice-based systems via APIs and orchestration layers.
  • Production-Grade ML Operations - Deploy and monitor ML models in cloud environments such as GCP or equivalent platforms.
  • Build scalable, reproducible training and inference pipelines using MLOps best practices.
  • Track performance with monitoring, logging, and feedback loops for continuous improvement.
  • Collaboration and Optimization - Collaborate with AI developers, product managers, and domain experts to understand business use cases and translate them into ML solutions.
  • Documentation - Write and maintain clean, well-structured documentation for LLMs/SLM.

Requirements

  • You have at least 3+ years of hands-on experience in machine learning, with a focus on NLP and language models.
  • You have proven experience with LLM/SLM fine-tuning, training, and optimization, including LoRA, QLoRA, or similar techniques.
  • You have a strong understanding of transformer architectures and experience with open-source models like Hugging Face, Mistral, LLaMA, or Gemma.
  • You have designed and deployed RAG systems in production environments.
  • You are proficient in Python, PyTorch, or TensorFlow, and feel at home with modern ML frameworks.
  • You have experience operating ML models in cloud environments, ideally GCP.
  • You can bridge the gap between research and engineering, experimenting fast but shipping stable, production-ready solutions.
  • You have strong Polish and English communication skills (B2/C1 or above).
Benefits
  • Flexible Work Setup - Enjoy a remote/hybrid work model that promotes flexibility and personal well-being while encouraging collaboration and meaningful team connections.
  • Collaborative Culture - Join a team of talented professionals who value knowledge-sharing, open communication, and a passion for building exceptional systems.
  • Real Impact - Your work will directly power next-gen autonomous commerce experiences used by top-tier businesses.
  • Cutting-Edge Technology - Work with advanced AI frameworks like LangChain and LangGraph, and bring LLM-driven features to production in a cloud-native environment.
  • Autonomy and Innovation - Explore agentic AI, RAG systems, and next-gen architectures with the freedom to propose and test new ideas.
  • Impactful Contribution - Be part of a company where your work directly impacts the success of a next-generation commerce platform used by top-tier businesses.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learningNLPLLM fine-tuningSLM optimizationLoRAQLoRAtransformer architecturesPythonPyTorchTensorFlow
Soft Skills
collaborationcommunicationproblem-solvingadaptabilitydocumentation