About this role

▸about Bybit — company background

About Us

Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance.

Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution.

Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services.

About the Role

We are using AI to fundamentally reshape our core business infrastructure. As an AI Application Backend Engineer, you will be a core builder of AI engineering capabilities — deeply integrating large language models with financial business scenarios to construct the backend AI service layer powering trading intelligence, smart risk control, compliance monitoring, and user services.

Responsibilities

• AI Service Layer Architecture & Development: Design and develop core AI backend services, including model gateway (Model Gateway), Agent scheduling layer, and streaming inference services. Build high-concurrency, low-latency, horizontally scalable microservice architectures that meet production SLA requirements for AI-powered services.

• Agent & Tool-Calling System Development: Develop Agent workflows and tool-calling (Tool Use / Function Calling) systems on the Openclaw platform. Define tool registration and integration standards for internal systems (trading engine, risk systems, data platforms), ensuring call-level security and result integrity for financial scenarios.

• Financial Scenario AI Service Delivery: Own the development and iteration of AI backend services for core scenarios including intelligent customer service, risk signal detection, compliance analysis, and personalized services. Collaborate with algorithm teams to deliver end-to-end model integration, effectiveness validation, and performance tuning.

• Data & Storage Layer: Design and maintain data infrastructure required by AI applications, including session memory and long-term memory storage, knowledge base management and incremental update mechanisms — ensuring data consistency and retrieval quality.

sourced from the original posting ↗ · always verify details there before applying