Data Scientist – AI Agent Engineering and Infrastructure

September 4

Apply Now
Logo of Binance

Binance

Crypto • Fintech

Binance is the world's leading cryptocurrency exchange, serving over 235 million registered users across more than 180 countries. The platform offers a wide array of services, including the trading of over 350 cryptocurrencies in Spot, Margin, and Futures markets. Users can also buy and sell crypto via Binance P2P, earn interest through Binance Earn, and engage in NFT trading on the Binance NFT marketplace. Binance provides low transaction fees and diverse payment options, making it a preferred choice for cryptocurrency enthusiasts worldwide.

1001 - 5000 employees

Founded 2017

₿ Crypto

💳 Fintech

💰 Initial Coin Offering on 2020-12

📋 Description

• Design and implement multi-agent systems to manage fraud detection, risk monitoring, and operational workflows, including middleware, task delegation, and communication protocols. • Develop retrieval-augmented generation (RAG) pipelines integrating real-time market, regulatory, and trading data; build and maintain vector databases and semantic search systems. • Implement safety frameworks, guardrails, and human-in-the-loop approval systems; monitor agent behaviour, detect anomalies, and enforce compliance. • Develop agent testing, versioning, and deployment pipelines, A/B testing frameworks, rollback strategies, and monitoring systems for production agents. • Collaborate closely with risk, infrastructure, and product teams to embed safety constraints, streamline agent-human interaction, and adapt solutions to business needs. • Design, build, and deploy production-grade multi-agent systems that reason, plan, and execute tasks at scale for Binance's trading ecosystem.

🎯 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.

🏖️ Benefits

• Competitive salary and company benefits • Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team) • Opportunities for career growth and continuous learning • Collaborate with world-class talent in a user-centric global organization with a flat structure • Thrive in a results-driven workplace with autonomy

Apply Now
Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com