Deploy, integrate, and maintain off-the-shelf AI tools and LLMs within the bank's engineering and business platforms, including GitHub, Jira, and Confluence.
Data Processing: We are building state-of-the-art infrastructure to meet the demands of our rapidly scaling fleet and sophisticated ML engineering requirements. You will be responsible for ensuring that our core data pipelines are robustly engineered—meaning they are performant, user-friendly, and highly fault-tolerant.
Design and implement global path planning algorithms for large-scale dynamic environments, ensuring optimal and collision-free routing across multi-floor indoor environments
Lead the overall architecture design and core capability development of the AI Agent platform, including task orchestration, tool invocation, context management, memory mechanisms, and multi-agent collaboration.
Design developer-facing abstractions over various components such as cloud-native services (e.g. AWS, kubernetes), CI/CD toolings, observability, and security controls, to marketplace platform services such as billing, subscriptions, reducing the need for teams to understand underlying details before they can ship safely.
Assist Development Project Managers (DEV PJM) during engineering sample builds (pre-A7.1) by coordinating material readiness and monitoring build lot progress.
Solution Design & Development – Translate business requirements, user stories and prototypes into practical digital solutions using appropriate WOG technology platforms and tools.
Deploy, integrate, and maintain off-the-shelf AI tools and LLMs within the bank's engineering and business platforms, including GitHub, Jira, and Confluence.