(Summary generated by AI based on the full job description)
Project focuses on building AI solutions for clients in banking, insurance, telco. Uses LLMs, RAG systems and agent frameworks. Core stack includes Python, LangChain/LangGraph (or similar), integrations with OpenAI, Anthropic, Gemini and open-source models, and vector DBs like Qdrant/Weaviate/Pinecone/pgvector. Responsibilities include building LLM-powered apps and agents, designing data ingestion pipelines (chunking, embedding, vector indexing), integrating models into existing systems, writing production-grade Python code (APIs, tests, containers), client-facing work, code reviews and documentation. Offered benefits include funded training and certifications, private medical care, Multisport card, English classes, flexible hours and referral bonus.

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