Data Scientist – AI Agent Engineering & Infrastructure

Binance; Lima Metropolitana; Presencial; PEN 209,000 - 315,000; Jornada completa

Descripción de la vacante

A leading cryptocurrency exchange in Lima is seeking an experienced Data Scientist to develop intelligent trading systems using AI Agents. Responsibilities include designing multi-agent systems for fraud detection and risk monitoring. The ideal candidate has a master's degree in Data Science, 2+ years of experience in AI systems, and strong proficiency in Python. This position offers competitive salary, benefits, and a flexible work-from-home arrangement.

Servicios

Competitive salary

Career growth opportunities

Work-from-home arrangement

Formación

• 2+ years of experience in machine learning or AI systems development.
• Strong background in LLMs and AI Agent frameworks.
• Hands-on experience with RAG systems and real-time data integration.
• Familiarity with FastAPI, Celery, or Ray is a plus.
• Experience with APIs and LLM fine-tuning.
• Knowledge of big data tools and containerized environments.

Responsabilidades

• Design and implement multi-agent systems for fraud detection and risk monitoring.
• Develop RAG pipelines and maintain vector databases.
• Implement safety frameworks and monitor agent behavior.
• Develop agent testing and deployment pipelines.
• Collaborate with product teams to adapt agent solutions.

Conocimientos

Machine Learning

AI Systems Development

Python

LLMs

Prompt Engineering

RAG Systems

Real-time Data Integration

Communication Skills

Problem-solving

Educación

Master’s degree in Data Science or equivalent

Herramientas

FastAPI

Docker

Kubernetes

Spark

Kafka

Redis

Descripción del empleo

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.

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