Middle Python Developer (ML)

You will join one of two AI initiatives: ChatCPI, an LLM-powered assistant for intelligent search and question answering over large technical documentation, or a Knowledge Graph Platform focused on structuring and connecting enterprise information for AI-driven use cases.

Customer: Our Customer is a leading Swedish telecommunications company recognized for delivering innovative large-scale technology solutions across complex infrastructure environments. The company operates internationally, serving millions of users and working with global technology leaders to drive digital transformation in the telecommunications industry.

Project: You will join one of two AI initiatives: ChatCPI, an LLM-powered assistant for intelligent search and question answering over large technical documentation, or a Knowledge Graph Platform focused on structuring and connecting enterprise information for AI-driven use cases.

Technologies: Python, LLMs, RAG, vector embeddings, hybrid search, knowledge graphs.

• 3+ years of commercial software development experience
• 2+ years of experience working on AI/ML projects
• Good Python skills with hands-on implementation experience
• Practical experience with LLMs and modern AI technologies
• Practical experience with RAG architecture, vector embeddings, and hybrid search
• Experience with information processing to improve AI quality including data preparation, chunking, metadata enrichment, and relevance tuning
• Ability to work independently and take ownership of tasks from design through deployment
• Upper-Intermediate English

Nice to have:

• Experience with knowledge graphs or graph databases
• Background in the telecommunications domain

• 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 closely with the team to integrate AI components into the wider platform
• Own changes end-to-end, including design, implementation, testing, and deployment
• Work independently while proactively communicating blockers, scope questions, and technical trade-offs