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Join the core AI team at Redis to research and design advancements in Large Language Models (LLMs) focusing on model optimization for relevance, latency, and privacy. Responsibilities include developing tools, implementing algorithms for model efficiency, and solving complex NLP challenges. Ideal candidates have experience in machine learning model development and a strong understanding of transformer architecture.

As a Technical Support Engineer at Redis, you'll diagnose and resolve complex technical issues for top customers while supporting Redis Enterprise software on various Cloud and on-premise environments. You'll collaborate with engineering for solutions, document issues, and manage critical customer communications, among other responsibilities.

As a Technical Support Engineer at Redis, you will resolve complex technical issues, troubleshoot software problems, document issues, collaborate with engineering, and provide solutions to improve customer satisfaction with Redis Enterprise Software. You'll also analyze data path performance, manage critical customer issues, and support product development and training activities.

As a Backend Team Leader at Redis, you will manage the DMC team, leading the design and implementation of core features, improving the Redis Datapath infrastructure, and fostering a collaborative team culture. Responsibilities include team recruitment, mentoring, backlog management, and technical collaboration to deliver high-performance distributed systems.

As a Senior Software Engineer on the AI team at Redis, you will work on the development and enhancement of Redis's vector and search functionalities. Your responsibilities include researching and implementing advanced algorithms, optimizing performance, and solving large-scale indexing and querying challenges. Collaborating with cross-functional teams will be essential to influence the evolution of Redis technology.

As a Technical Support Engineer at Redis, you will troubleshoot complex software issues for customers, document problems, conduct root cause analysis, and manage critical issues while collaborating with various teams. The role emphasizes ongoing learning and technical problem-solving for enterprise-level deployments across cloud and on-premise environments.