AI Agent Engineer

Binance; Singapore; Remote; SGD 90,000 - 180,000; Full time

Benefits offered by this job

Work-from-home options

Competitive compensation

Job summary

Binance is seeking an AI Agent R&D Engineer to build a conversational agent platform, enabling AI search, token insights, and trading strategy generation. You will craft multi-turn experiences with memory, tool calling, and orchestration, delivering reliable, scalable capabilities across business domains.

The role collaborates with product, data, and trading teams to deploy AI features in production while maintaining strict security and observability standards.

Qualifications

• Master's degree or above in Computer Science or a related field preferred.
• 2+ years backend development experience with Java or Python and microservices architecture familiarity.
• Hands-on experience deploying large-model/AI applications with prompt engineering, RAG, vector retrieval, and function calling.
• Strong system design skills including caching, messaging queues, databases, and governance.
• Interest in digital asset trading, market structure, on-chain data, and token-related information.

Responsibilities

• Develop an enterprise-grade conversational agent platform for AI search, token insight conversations, trading assistant Q&A, and strategy generation.
• Design multi-turn conversations with memory, tool calling, orchestration, follow-up questioning, and fallback handling.
• Build and optimize the large-model application pipeline with prompt engineering, RAG, tool calling, and workflow orchestration.
• Collaborate with product, algorithm, data, and trading teams to deploy AI capabilities into business scenarios and drive iterative improvements.
• Establish quality monitoring and evaluation systems for production environments, focusing on key metrics like first-resolution rate and user satisfaction.
• Ensure system stability, security, and compliance while improving performance under high concurrency.

Skills

Backend dev

Java

Python

Microservices

Prompt engineering

RAG

Vector retrieval

Function calling

Distributed systems

Data analysis

Education

Masters degree

Tools

Redis

Kafka

Job description

Binance is a leading global blockchain ecosystem behind the world's largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, and more. Our mission is to increase the freedom of money and financial access for people around the world.

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 speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.

We are building AI Agent systems for core use cases such as AI conversations and AI-powered trading. We are looking for an AI Agent R&D Engineer to develop a conversational agent platform and its underlying capabilities, including tool calling, memory, orchestration, and more. The goal is to transform large language model capabilities into stable, reliable, and continuously evolving product features that can be applied to real business scenarios.

Why Binance

• Shape the future with the world's leading blockchain ecosystem
• Collaborate with world-class talent in a user-centric global organization with a flat structure
• Tackle unique, fast-paced projects with autonomy in an innovative environment
• Thrive in a results-driven workplace with opportunities for career growth and continuous learning
• Competitive salary and company benefits
• Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)

Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success. By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.

Responsibilities

• 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.

Qualifications

• 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