binance · Australia; Hong Kong; Malaysia; New Zealand; Singapore; Taiwan · Singapore
<div class="content-intro"><p>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, and more. Our mission is to increase the freedom of money and financial access for people around the world.</p></div><p><strong>Responsibilities:</strong></p> <ul> <li data-end="4801" data-start="4616" data-section-id="1u5tvzr">Design and develop <strong data-end="4670" data-start="4637">AI-powered productivity tools</strong> for internal engineering teams, including coding assistants, knowledge retrieval systems, developer tools and workflow automation.</li> <li data-end="4978" data-start="4802" data-section-id="95xfdm">Build and integrate <strong data-end="4852" data-start="4824">LLM-powered applications</strong> for real-world engineering use cases, such as code generation, code understanding, testing and developer workflow automation.</li> <li data-end="5133" data-start="4979" data-section-id="22wzy">Develop <strong data-end="5041" data-start="4989">AI Agent workflows and supporting infrastructure</strong>, including tool calling, context management, memory, evaluation and workflow orchestration.</li> <li data-end="5300" data-start="5134" data-section-id="1shuytt">Integrate AI capabilities into the software development lifecycle, from requirements and development to testing and deployment, to improve engineering productivity.</li> <li data-end="5433" data-start="5301" data-section-id="l7sysy">Work closely with engineering teams to identify development bottlenecks and translate them into <strong data-end="5432" data-start="5399">practical AI-driven solutions</strong>.</li> <li data-end="5596" data-start="5434" data-section-id="1310hjw">Apply approaches such as <strong data-end="5520" data-start="5461">Prompt Engineering, RAG, AI Agents and MCP/tool calling</strong>, and continuously evaluate emerging AI technologies for practical adoption.</li> <li data-end="5717" data-start="5597" data-section-id="1auviw3">Own projects end-to-end, from <strong data-end="5716" data-start="5629">problem definition and technical design to implementation, deployment and iteration.</strong></li> </ul> <p><br><strong>Requirements </strong></p> <ul> <li data-end="5849" data-start="5741" data-section-id="gva25r">Bachelor's degree or above in <strong data-end="5848" data-start="5773">Computer Science, Data Science, Software Engineering or a related field</strong>.</li> <li data-end="5927" data-start="5850" data-section-id="1jv9wx1"><strong data-end="5927" data-start="5852">1–5 years of software engineering or applied AI engineering experience.</strong></li> <li data-end="6033" data-start="5928" data-section-id="96dt7q">Proficient in at least one programming language, such as <strong data-end="6032" data-start="5987">Python, Java, Go or JavaScript/TypeScript</strong>.</li> <li data-end="6145" data-start="6034" data-section-id="18zwowm">Solid software engineering fundamentals, including <strong data-end="6144" data-start="6087">API integration, system design, debugging and testing</strong>.</li> <li data-end="6221" data-start="6146" data-section-id="85v7am">Hands-on experience building or integrating <strong data-end="6220" data-start="6192">LLM-powered applications</strong>.</li> <li data-end="6361" data-start="6222" data-section-id="rhfe3b">Practical understanding of one or more of <strong data-end="6360" data-start="6266">LLM Agents, RAG, Prompt Engineering, MCP/tool calling, context management or AI evaluation</strong>.</li> <li data-end="6498" data-start="6362" data-section-id="zx4sxh">Experience with <strong data-end="6427" data-start="6380">backend, platform or full-stack development</strong> and integrating AI capabilities into production or internal workflows.</li> <li data-end="6589" data-start="6499" data-section-id="149b7mv">Strong problem-solving and learning ability, with a <strong data-end="6588" data-start="6553">hands-on and proactive approach</strong>.</li> <li data-end="6737" data-start="6590" data-section-id="18889ls">Good communication and collaboration skills, with the ability to work closely with engineering teams to understand and solve real-world problems.</li> </ul> <p><br><strong>Bonus Points</strong></p> <ul> <li data-end="6882" data-start="6766" data-section-id="1e22d3g">Experience building <strong data-end="6881" data-start="6788">AI productivity tools, developer tools, internal platforms or workflow automation systems</strong>.</li> <li data-end="6982" data-start="6883" data-section-id="46mtpl">Experience with <strong data-end="6981" data-start="6901">AI Agent frameworks, Agent memory, tool orchestration or multi-agent systems</strong>.</li> <li data-end="7105" data-start="6983" data-section-id="m2fjpq">Experience integrating LLMs into <strong data-end="7052" data-start="7018">software development workflows</strong>, such as coding, testing, code review or deployment.</li> <li data-end="7186" data-start="7106" data-section-id="1uac8nb">Experience with <strong data-end="7185" data-start="7124">RAG, knowledge systems, search or documenta