QA Engineer (Product-Focused)

Location: Poland (remote-friendly with flexible hours to overlap with US ET and Europe)
English: Upper-Intermediate+


About the Client:
Our client is one of the world’s top 5 global management consulting firms, renowned for its prestige and trusted by hundreds of Fortune 500 companies. Their customer base includes leading global financial institutions, top-tier media and tech giants, and major government agencies. They offer a proven platform and services that help organizations drive innovation and efficiency.


About the Project:
You’ll be joining a cutting-edge GenAI initiative — a smart personal assistant that seamlessly integrates into Slack and other messaging platforms.


Tech Stack:
Python, SQL, Pandas, NumPy, TensorFlow, PyTorch, AWS (Azure is a plus)
Familiarity with RAG implementation, Agents, and LangChain is beneficial


Your Role & Responsibilities:

  • Build and maintain robust test coverage, ensuring quality across all product features
  • Design and support automated tests using Python and Pytest (focused on API testing)
  • Develop and evolve the test automation framework and CI/CD practices following a test-driven prompt engineering approach
  • Identify biases, inconsistencies, and inaccuracies in GenAI outputs across multiple scenarios
  • Actively contribute to product quality by managing bug reports, prioritizing issues, and supporting release procedures
  • Collaborate closely with a cross-functional team and contribute hands-on to experiments, code improvements, and testing of key ML/DS features
  • Take full ownership of your QA stream — including planning, structuring tasks, and aligning priorities with the overall product impact
  • Be ready to shift your working hours to sync with the globally distributed team (Europe/US ET)


What We’re Looking For:

  • QA generalist with a strong product mindset and solid automation skills
  • Experience in API testing with Python/Pytest
  • Critical thinker who can identify opportunities for improvement with high product impact
  • Self-driven and independent — someone who can own their workstream and contribute to end-to-end delivery
  • Confident communicator, unafraid to speak up and challenge ideas at all levels
  • Bonus: Understanding of GenAI, LLMs, LangChain, or experience working with ML-related products
Published 3 April
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