Senior RAG Engineer

7 days ago

Riga, Rīga, Latvia Wallester Full time €40,000 - €80,000 per year

About us Wallester is a cutting-edge financial technology company that specializes in providing innovative solutions for businesses seeking to modernize their payment systems. By offering white-label card issuance platforms, seamless integration with existing infrastructure, and comprehensive support for both digital and physical cards, Wallester empowers companies to enhance their financial services and customer experience. Recognized as a leader in the FinTech space, Wallester has earned a reputation for its state-of-the-art technology, security, and scalability. Whether you are a startup or an established enterprise, Wallester delivers flexible, reliable solutions tailored to meet the evolving needs of the digital economy.About the positionWe're seeking an exceptional engineer specialized in RAG (Retrieval-Augmented Generation) systems to build Wallester's intelligent knowledge base. You'll be responsible for the architecture, development, and deployment of a RAG system capable of ingesting housands of documents (Drive, emails, history) and providing perfect institutional memory accessible in natural language. Progressive deployment over 9 months: General knowledge base → Department integrations (Sales, Finance, Support) → Advanced features and scaling.We're looking for a true expert capable of designing and implementing complex RAG architectures with LangChain/LangGraph and orchestrating workflows with n8n. Responsibilities General Knowledge BaseDesign complete RAG architecture with LangChainImplement Google Drive ingestion pipeline documents)Build 3-way hybrid search (semantic + BM25 + pattern matching)Deploy Supabase with pgvector optimizationCreate LangGraph workflows for orchestration Department IntegrationsConnect Pipedrive (Sales), Admin Panel (Finance), Support systemsDevelop autonomous agents per department with LangGraphBuild n8n workflows for business logicImplement conversation memory and query routing Production & ScalingOptimize for 1000+ queries/day with

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