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описание
The customer is a leading Swedish telecommunications company that delivers large-scale technology solutions for complex infrastructure environments. It serves millions of users internationally and works with global technology leaders to drive digital transformation in telecommunications. The projects include an LLM-powered assistant for searching and answering questions about technical documentation and a Knowledge Graph Platform for structuring enterprise information for AI-driven use cases.
задачи
Design and implement LLM-based features and RAG pipelines, from data ingestion to answer generation
Build and optimize retrieval using vector embeddings and hybrid semantic and keyword search
Process, clean, and structure source information to improve the accuracy and relevance of AI-generated output
Evaluate model quality, experiment with new approaches, and bring proven solutions into production
Work with the team to integrate AI components into the wider platform
Own changes end to end, including design, implementation, testing, and deployment
Work independently and proactively communicate blockers, scope questions, and technical trade-offs
требования
3+ Years of commercial software development experience
2+ Years of experience working on AI/ML projects
Good Python skills and hands-on implementation experience
Practical experience with LLMs and modern AI technologies
Practical experience with RAG architecture, vector embeddings, and hybrid search
Experience preparing, chunking, and enriching data with metadata, and tuning relevance to improve AI quality
Ability to work independently and own tasks from design through deployment
Upper-Intermediate English
Будет плюсом: experience with knowledge graphs or graph databases, telecommunications domain experience
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