lever
AI Backend Developer, Binance Square (Java, Golang, Python)
Binance
Remote, AUS
Mid · 3–6 years experience
Remote
Discovered 2 weeks ago
awsazuredockergcpgolangjava
Free
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Responsibilities:
- 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
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