AI Backend Developer, Java, Golang, Python

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Binance

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2017

₿ Crypto

💳 Fintech

💰 Initial Coin Offering on 2020-12

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.

📋 Description

• Design, develop, and maintain high-performance backend services for the Binance Square product, focusing on content discovery, recommendation pipelines, and AI-powered features • Build and operate scalable microservices handling millions of daily requests, ensuring reliability, low latency, and graceful degradation under peak load • Integrate Large Language Models (LLMs) and AI/ML pipelines into production backend systems, including RAG architectures, prompt orchestration, and agentic workflows • Collaborate closely with Product Managers, Data Scientists, DevOps, and frontend engineers to deliver end-to-end solutions from data ingestion to user-facing features • Design and optimize data pipelines for content indexing, real-time analytics, and ML feature serving • Advocate for engineering best practices — conduct code reviews, write comprehensive tests, and drive architectural improvements • Troubleshoot and resolve production issues, performing root-cause analysis and implementing preventive measures • Contribute to technical design documents and participate in architecture decision-making

🎯 Requirements

• 3–6 years of back-end software development experience with strong proficiency in Java (primary) or Golang/Python • Bachelor's or Master's degree in Computer Science, Engineering, or a related field • Deep understanding of software frameworks, design patterns, and microservices architecture • Strong experience with relational databases (MySQL/PostgreSQL), message brokers (Kafka/RabbitMQ), and caching systems (Redis) • Experience with cloud infrastructure (AWS/GCP/Azure) and containerization (Docker/Kubernetes) • Hands-on experience integrating AI/LLM technologies into production systems — RAG, prompt engineering, LLM orchestration, or agentic pipelines is a strong plus • Experience with high-throughput, low-latency backend systems serving millions of users • Solid understanding of data structures, algorithms, and system design • Ability to work independently and communicate effectively in a distributed, cross-timezone team environment

🏖️ Benefits

• Competitive salary and company benefits • Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)