Pioneering AI Engineering Role Focusing on User Memory Solutions

Drive innovation in AI by becoming a Senior AI Engineer. This essential role involves leading the development of memory systems and proactive intelligence capabilities for enhanced user interactions. You will be the first engineer on a dedicated pod, setting the technical direction for building advanced memory capabilities that understand and alert users about important changes. This leadership role emphasizes hands-on coding while mentoring a team across AI and backend disciplines. Your experience in building production-grade LLM systems is crucial for seamless integration and user-centric solutions. Key Responsibilities: • Direct a pod of engineers in AI/LLM • Develop memory capabilities for user engagement • Create proactive intelligence systems • Implement changes monitoring and alert systems • Collaborate with adjacent teams for integration Requirements: • 7+ years Python experience in production • Expertise with LLM systems and asynchronous design • Effective team leadership as a player-coach • Background in event-driven architectures • Knowledge of semantic search tools and technologies Join in building next-gen AI systems that truly understand and engage users, driving technology forward in meaningful ways.