Python Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Python Engineer (AI): Developing and optimizing a RAG pipeline for an industrial automation copilot with an accent on hybrid retrieval systems and AST-aware code processing. Focus on building high-performance Python components, integrating vector search mechanics, and ensuring production-grade code quality within a secure Azure DevOps environment.
Location: Must be physically located in Poland or Eastern Europe
Company
is a global custom product engineering company that supports multinational organizations and scaling startups in solving complex business challenges through innovative technology.
What you will do
- Instrument existing data and retrieval pipelines to capture performance metrics for KPI scoring.
- Develop a hybrid retrieval layer by merging lexical search (BM25) with vector store mechanics (pgvector).
- Implement custom embedding strategies and chunking boundaries to improve search relevance.
- Write clean, performant, and fully tested Python code for direct delivery into client repositories.
- Collaborate with ML engineers to integrate retrieval components into a unified enterprise application pipeline.
Requirements
- Must be physically located in Poland or Eastern Europe to maintain squad alignment.
- 3+ years of commercial software development or ML engineering experience in production environments.
- Strong Python coding capabilities with experience building and testing data or ML pipelines.
- Hands-on experience with vector search, embedding models, and lexical retrieval protocols.
- Proven familiarity with TDD, automated linting, and structured Git/Azure DevOps workflows.
Nice to have
- Practical exposure to search relevance tuning and context re-ranking models.
- Experience processing technical or industrial documentation.
Culture & Benefits
- Work within a strong professional community in a friendly, open-door environment.
- Access to internal events, meetups, workshops, and company-paid certifications.
- Support for continuous learning through Udemy access and language courses.
- Flexibility with full remote working possibilities.
- Company-paid medical insurance.
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