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updated 6 days ago

Expert AI Engineer (AI)

Work format
remote (only Poland)
Work type
fulltime
Grade
senior/lead
English
b2
Country
Poland/Romania/CR +2 more
This vacancy is from Hirify.Global listVacancy from Hirify Global, list of international tech companies
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Job description

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TL;DR
Expert AI Engineer (AI): Leading the design and deployment of advanced AI systems and LLM-driven applications with an accent on RAG, multi-agent systems, and MLOps/LLMOps. Focus on architecting scalable AI pipelines, integrating AI services with enterprise platforms, and serving as a technical authority for global clients.

Location: Remote (Poland)

Company

A custom product engineering company that supports multinational organizations and scaling startups in solving complex business challenges.

What you will do

  • Lead the design, development, and deployment of advanced AI systems across Data Science and AI Engineering domains.
  • Architect scalable AI pipelines and LLM-driven applications, including retrieval-augmented generation (RAG) and multi-agent systems.
  • Serve as the technical authority during client engagements to ensure architecture quality, scalability, and reliability.
  • Apply MLOps and LLMOps best practices for CI/CD, observability, evaluation, and continuous improvement of models.
  • Integrate AI services with enterprise platforms such as Confluence, Jira, GitHub, CRM, and ERP.
  • Mentor engineering peers and contribute to internal knowledge sharing through the AI Academy.

Requirements

  • 8+ years of professional experience in software or AI engineering, with 3–4 years of hands-on AI/ML solution design.
  • Must be based in Poland.
  • Deep understanding of probability, statistics, and the mathematical foundations of machine learning.
  • Proven experience with Large Language Models (LLMs), multimodal architectures, RAG, and prompt engineering.
  • Strong proficiency in Python and AI frameworks like PyTorch, TensorFlow, LangChain, or Hugging Face.
  • Experience with cloud-native AI platforms such as AWS SageMaker, Azure ML, or GCP Vertex AI.

Nice to have

  • Background in software or solution architecture.
  • Experience with containerization (Docker, Kubernetes) and CI/CD pipelines.
  • Expertise in Big Data and streaming frameworks like Apache Spark, Kafka, or Flink.
  • Familiarity with NoSQL and graph databases (e.g., Cassandra, Neo4j).
  • Professional certifications in AWS, Azure, or GCP AI/ML services.

Culture & Benefits

  • Collaborative environment working alongside top professionals in an open-door culture.
  • Tailored learning opportunities including internal meetups, Udemy access, and company-paid certifications.
  • Flexible full remote working possibilities within Poland.
  • Premium medical package provided through Luxmed.
  • Access to the MyBenefit cafeteria platform for personalized perks.

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