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Bybit is a leading cryptocurrency exchange and digital financial platform serving over 80 million users globally. The company is building AI-powered infrastructure across trading, payments, wealth management, custody, and Web3 services.
As a Product AI Application Backend Engineer, you will be a core builder of AI engineering capabilities at Bybit, deeply integrating large language models with financial business scenarios to construct the backend AI service layer. This role focuses on powering trading intelligence, smart risk control, compliance monitoring, and user services through production-grade AI systems.
Key Responsibilities:
• Design and develop core AI backend services including model gateway, Agent scheduling layer, and streaming inference services. Build high-concurrency, low-latency, horizontally scalable microservice architectures meeting production SLA requirements.
• Develop Agent workflows and tool-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.
• Own 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 on end-to-end model integration, effectiveness validation, and performance tuning.
• Design and maintain data infrastructure for AI applications, including session memory and long-term memory storage, knowledge base management, and incremental update mechanisms — ensuring data consistency and retrieval quality.
• Establish full-chain LLM application tracing, prompt version management, and evaluation frameworks. Design automated LLM-as-Judge pipelines to continuously monitor output quality, hallucination rates, and business KPIs.
Requirements:
• Proficiency in Golang or Java; solid understanding of data structures, algorithms, and system design; familiarity with RESTful API and gRPC interface design.
• 5+ years of backend development experience with production-level expertise in microservice frameworks (Spring Boot / go-zero), message queues (Kafka / RabbitMQ), caching (Redis), and relational databases (PostgreSQL / MySQL).
• 1+ year of hands-on production experience building LLM applications or AI Agents, with demonstrated AI skills (Agent development, LLM toolchain integration); able to independently deliver AI feature modules end-to-end.
• Deep understanding of LLM capabilities and limitations (hallucination, context length, reasoning); hands-on experience with Prompt Engineering, Few-shot and Chain-of-Thought design, with ability to independently craft and iterate prompt strategies for complex business scenarios.
