The opportunity
Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 250 million people in 100+ countries for our industry-leading security, user fund transparency, trading engine…
What you'll do
Develop an enterprise-grade conversational agent platform to support core: business scenarios such as AI search, token insight conversations, trading assistant Q&A, and trading strategy generation.
Design and implement multi-turn conversation capabilities, including: contextual memory, tool calling and orchestration, clarification and follow-up questioning, and fallback handling, to create a natural and coherent conversational experience.
Build and optimize the large-model application pipeline, including prompt: engineering, retrieval-augmented generation (RAG), tool calling / function calling, and workflow orchestration.
Work closely with product, algorithm, data, and trading teams to deploy: conversational AI capabilities into real business scenarios and continuously drive iterative improvements.
Establish quality monitoring and evaluation systems for production: environments, continuously improving key metrics such as first-resolution rate, conversation completion rate, response latency, and user satisfaction.
Ensure system stability, security, and compliance, while continuously: improving performance, availability, and observability under high-concurrency scenarios.
What they're looking for
- Master’s degree or above in Computer Science or a related field is preferred.
- More than 2 years of backend development experience, with solid engineering: skills in Java or Python and familiarity with common microservices architectures.
- Hands-on experience in deploying large-model / AI applications, with a deep: understanding of key technologies such as prompt engineering, RAG, vector retrieval, and function calling.
- Strong complex system design capabilities, with familiarity in caching,: message queues, databases, and service governance.
- Strong interest in digital asset trading, market structure, on-chain data,: and token-related information, with a willingness to deeply understand trader needs and behaviors.
- Strong data analysis and troubleshooting skills, with the ability to drive: continuous system improvement based on logs and metrics.
- Strong cross-functional communication and project execution skills, with a results-oriented mindset.
- Preferred Qualifications Experience in AI search, financial information: retrieval, or token / project research products. Experience with trading products, market analysis, quantitative tools, or strategy platforms. Experience building agent platforms, A/B testing frameworks, or evaluation datasets. Familiarity with technologies such as Redis, Kafka, Elasticsearch, and vector databases.
