Responsibilities
In this role, you will build systems that transform technical documentation into structured knowledge used in diagnostic processes. This position is a unique blend of software engineering, text processing, and LLM-based solutions.
- Building solutions for analyzing and processing technical documentation.
- Implementing systems based on Retrieval-Augmented Generation (RAG).
- Creating pipelines for document parsing, information extraction, and data structuring.
- Converting unstructured content into clean, readable formats (e.g., JSON).
- Integrating large language models into backend workflows.
- Iteratively improving the quality and accuracy of generated outputs.
Qualifications
- Minimum of 3 years of experience in Python, specifically in data-related tasks or automation.
- Practical experience with LLMs or RAG systems.
- Ability to work with various text formats (PDF, DOCX, HTML).
- Understanding of text data quality issues and NLP (Natural Language Processing).
- Ability to critically evaluate model-generated results.
Nice to Have:
- Experience with tools like FAISS or Pinecone.
- Familiarity with LangChain or LlamaIndex.
- Experience working with engineering or technical documentation.
We offer
- B2B contract
- Long-term cooperation
- 100% remote work
- Flexible working hours
- Wide range of projects (internal and international)
- Annual performance reviews to help define your individual development path
- Internal promotion opportunities
Benefits
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Integration events
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Private medical care (Luxmed or PZU)
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Life insurance (Unum or PZU)
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Sports card Multisport
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Employee referral programs
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Psychological support
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Offices in Warsaw and Łódź
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English language classes
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Budget for technical certificates
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Discount on Orange products
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Co-financing of boat trips