AI Agent Engineer at Binance

About Binance

Binance is a leading global blockchain ecosystem behind the world's largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ 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.

Responsibilities

• Agentic RAG & Engineering: Design and operate next generation retrieval pipelines, moving beyond static retrieve once patterns to adaptive, self correcting, and multi hop retrieval workflows. Architect Agentic RAG systems with dynamic retrieval control, query decomposition, iterative retrieve reflect refine loops, and multi agent retrieval collaboration.
• Frontier Harness: Collaborate deeply with researchers and engineers to define and implement model capability driven innovations, including context management, long term memory, subagent and multi agent architectures, self evolving agents, and real world task execution.
• Benchmarking & Evaluation: Propose harness domain and RAG domain benchmarks and evaluation methodologies. Construct benchmark datasets, define annotation strategies, and systematically measure and improve agent intelligence across domains, including retrieval efficiency, latency, groundedness, and task success rate.
• Real world Feedback Loops: Leverage multi channel user feedback and real world task data as primary research signals. Design experiments and datasets to continuously improve agent and retrieval performance in production scenarios.

Requirements

• 2 to 8+ years of hands on experience with LLM, RAG and AI agent systems in production.
• RAG & Agentic RAG Engineering: Hands on experience building production retrieval pipelines end to end, including embedding models (BGE, OpenAI, etc.), vector stores (Qdrant, Milvus, Pinecone, Weaviate), hybrid search (keyword + vector), and reranking models. Deep understanding of chunking strategy, 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.
• Agent Harness Engineering: Hands on experience with Agent Harness runtimes (Pi Agent, AgentScope 2.0 or equivalent orchestration frameworks): session recovery, sandbox isolation, middleware/hook systems, multi tenant runtime, plan/execute loops, and retrieval grounded tool calling.
• LLM & Agent Fundamentals: Deep familiarity with LLM and agent mechanisms including LLM APIs, KV Cache, Agent Loop, Tool Use, Reasoning, Planning, Skills, MCP, Memory, Subagent, and Multi Agent. Strong grasp of Prompt Engineering and Context Engineering.
• Independent Research Capability: Can analyze ambiguous problems from first principles, generate original ideas, and drive research from 0 to 1. Able to rapidly translate ideas into runnable prototypes with tight experiment iteration loops.
• Heavy Agent User: Power user of agent products (coding agents, general purpose agents). Agent tools are already integrated into your daily work and life, and you have taste and judgment about model behavior.
• AI native Engineering: Proficient in vibe coding, shipping fast using AI assisted workflows across unfamiliar languages, frameworks, and domains, with strong learning velocity in software development.

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)

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