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Senior AI Infrastructure Engineer – LLM & Retrieval Systems

senior50,000 PLN · период не указанWroclaw, PLСкор 72.5/1003нед назад
Стек
PythonLarge Language Models (LLM)vector databasesRetrieval-Augmented Generation (RAG)Machine Learning InfrastructureCloud Platforms (AWS/GCP/Azure)Embeddings and Semantic SearchKubernetesMLOpsDistributed systemsawscloud
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Описание
AI Platform Engineer Join our innovative team as an AI Platform Engineer and be at the forefront of developing scalable, high-impact AI infrastructure solutions. In this pivotal role, you will focus on crafting production AI services, from Retrieval-Augmented Generation (RAG) systems to agentic workflows, empowering research and engineering teams across the firm. Your expertise will shape how AI capabilities are delivered and maintained, ensuring seamless, reliable, and efficient AI operations. What You’ll Do: Develop and maintain internal AI services and APIs, including RAG pipelines, document ingestion, embeddings, retrieval, and relevance optimization Manage vector database performance, scalability, and data freshness to ensure optimal retrieval quality Design and document user-friendly APIs supporting agentic workflows Integrate model serving endpoints into application services, monitoring latency, reliability, and retrieval accuracy Build resilient systems with fallback mechanisms, version control, and testing frameworks Implement comprehensive monitoring, logging, and tracing across AI services Oversee service lifecycle management, from deployment to deprecation, and participate in operational incident response Required Skills: 4+ years of experience in software or platform engineering, with exposure to AI/ML or LLM-based applications Strong Kubernetes expertise, particularly in GPU contexts and containerized environments Proficiency with cloud infrastructure, especiall
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