Senior AI Engineer

Description

Job Summary: Excelia is seeking a Senior AI Engineer to design production-scale RAG pipelines, build distributed systems, and optimize LLMs, ensuring reliability and compliance. Key Highlights: 1. Design production-scale RAG pipelines 2. Ensure reliability and regulatory compliance 3. High technical proficiency and autonomy **Senior AI Engineer (RAG \& LLM Systems – Production)** -------------------------------------------------------- At Excelia, we are a leading multinational firm in Consulting, Technology, and Professional Services, with over 25 years of experience and presence in more than 50 countries. **We are looking for a Senior AI Engineer** **Mandatory Requirements** ------------------------------ * \+3 years of experience in **generative AI in production** * Degree in **Computer Engineering or related field** * Experience in **complex system architecture** * High technical autonomy **Key Experience** --------------------- * **Production RAG**: multi\-hop, retrieval optimization, token and context management * **Distributed architectures**: Kafka, MinIO, asynchronous processing * **Document processing**: OCR (PaddleOCR or similar), fuzzy matching, data quality * **Regulated environments**: banking, insurance, or healthcare (auditing and traceability) **Tech Stack** --------- LLMs (GPT, Gemini), Vector DBs (Weaviate, Pinecone, pgvector), FastAPI, Kafka, MinIO, Ray, PostgreSQL, Redis **Your Responsibilities** --------------- * Design **production-scale RAG pipelines** * Build distributed systems for document processing * Optimize LLM quality, cost, and latency * Ensure **reliability and regulatory compliance** * Work directly with clients **What We Offer** ------------- Stable project Competitive salary High technical proficiency and autonomy Real-world production projects