Site Reliability Engineer (AI)

Location: Asia; work-from-home arrangement, which may vary depending on the business team's work

Company

Binance operates a global blockchain ecosystem offering cryptocurrency trading, finance, payments, institutional services, and Web3 products.

What you will do

• Design and operate adaptive, self-correcting, and multi-hop retrieval pipelines for production AI systems.
• Architect Agentic RAG workflows with dynamic retrieval control, query decomposition, retrieve-reflect-refine loops, and multi-agent collaboration.
• Develop model-capability-driven features including context management, long-term memory, subagents, multi-agent architectures, and real-world task execution.
• Define benchmarks, datasets, annotation strategies, and evaluation methods for retrieval efficiency, latency, groundedness, and task success.
• Use user feedback and real-world task data to run experiments and improve agent and retrieval performance in production.

Requirements

• 2–8+ years of hands-on experience with LLM, RAG, and AI agent systems in production.
• Experience building end-to-end retrieval pipelines with embedding models, vector stores, hybrid search, reranking, chunking, text cleaning, and multimodal data parsing.
• Experience implementing Agentic RAG patterns such as Self-RAG, Corrective RAG, adaptive retrieval, multi-hop decomposition, and retrieve-reflect-refine loops.
• Hands-on experience with agent harness runtimes or equivalent orchestration frameworks, including session recovery, sandbox isolation, middleware, multi-tenant runtimes, plan/execute loops, and retrieval-grounded tool calling.
• Strong knowledge of LLM APIs, KV Cache, agent loops, tool use, reasoning, planning, MCP, memory, subagents, multi-agent systems, prompt engineering, and context engineering.
• Ability to investigate ambiguous problems, conduct independent research, rapidly build prototypes, and use AI-assisted development workflows across unfamiliar technologies.

Culture & Benefits

• Work-from-home arrangement, subject to the nature of the business team's work.
• Autonomous work on fast-paced blockchain and AI-related projects.
• Flat, user-centric organization with collaboration across an international workforce.
• Competitive salary and company benefits.
• Career growth and continuous learning opportunities.