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| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Binance | Taipei, Taiwan |
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Data Scientist – AI Agent Engineering & Infrastructure
Asia / Taiwan, Taipei / Hong Kong / Thailand, Bangkok / Australia, Brisbane / Australia, Melbourne / Australia, Sydney / Eastern Europe
Engineering – Data Science/AI /
Full-time: Remote /
On-site
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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 280 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.
About the Role
We are building the next frontier of intelligent trading systems, leveraging AI Agents to autonomously handle complex workflows in fraud detection, customer support, risk monitoring, and operational decision-making. As a Data Scientist in AI Agent Engineering, you will design, build, and deploy production-grade multi-agent systems that reason, plan, and execute tasks at scale. You will work across agent orchestration, retrieval systems, safety guardrails, and MLOps to bring intelligent autonomy into our trading ecosystem.
Responsibilities
- AI Agent Development & Orchestration: Design and implement multi-agent systems to manage fraud detection, risk monitoring, and operational workflows. Build middleware, task delegation, and communication protocols for seamless agent interaction.
- RAG & Knowledge Systems: Develop retrieval-augmented generation (RAG) pipelines integrating real-time market, regulatory, and trading data. Build and maintain vector databases and semantic search systems that power contextual agent decision-making.
- Safety & Governance: Implement safety frameworks, guardrails, and human-in-the-loop approval systems. Monitor agent behaviour, detect anomalies, and enforce regulatory and business compliance.
- Agent CI/CD & Infrastructure: Develop agent testing, versioning, and deployment pipelines. Build A/B testing frameworks, rollback strategies, and monitoring systems to optimise production agents.
- Collaboration: Work closely with risk, infrastructure, and product teams to embed safety constraints, streamline agent-human interaction patterns, and adapt agent solutions to business needs.
Requirements
- 2+ years of experience in machine learning or AI systems development.
- Strong background in LLMs, prompt engineering, and AI Agent frameworks (LangChain, LlamaIndex, CrewAI, AutoGen, etc.).
- Hands-on experience with RAG systems, vector databases, and real-time data integration.
- Proficiency in Python; familiarity with FastAPI, Celery, or Ray a plus.
- Experience with APIs (OpenAI, Anthropic) and LLM fine-tuning.
- Knowledge of big data tools (Spark, Kafka, Redis) and containerized environments (Docker, Kubernetes).
- AI Agent Specialization: Workflow design (planning, reasoning, tool use), guardrails and oversight frameworks, semantic search, monitoring, and rollback strategies.
- Background: Master’s degree (or equivalent experience) in Data Science, AI Engineering, or Applied ML. Experience with large-scale, real-time systems; financial or trading domain knowledge preferred.
- Soft Skills: Strong problem-solving and communication skills, ability to work in fast-changing 0→1 environments, and a passion for AI agents, LLMs, and intelligent automation.
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.
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Is infrastructure engineering a good career?
Yes, infrastructure engineering can be a good career choice for individuals who are interested in designing and managing the physical infrastructure required for various projects, including transportation systems, buildings, energy systems, and more
Infrastructure engineers play a critical role in ensuring that our communities have safe and reliable systems and facilities that meet the needs of their users
They are responsible for designing, building, and maintaining infrastructure projects, as well as managing the budget, timelines, and resources required for these projects
In addition, infrastructure engineering is a growing field, as there is a continued need for new infrastructure to support the growing population and changing technological landscape
This means that there are plenty of job opportunities in this field, and those with the right skills and qualifications can often command high salaries and advance their careers quickly
If you are interested in infrastructure and enjoy problem-solving, project management, and working with a team, infrastructure engineering can be a fulfilling and rewarding career choice.