Pioneer Talent Program - Applied AI Agent/AI Productivity Engineer (Top Talent Program)
Binance · Remote · Taipei +6 · 8mo ago
Mid levelRemoteMachine Learning & AI
Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 230 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.
About the Pioneer Talent Program
Are you an early-career professional ready to kickstart your career in the dynamic world of blockchain? Binance’s Pioneer Talent Program is designed to nurture ambitious individuals like you. The program offers full-time roles where participants will gain hands-on expertise via a tailored training curriculum and personalized 1:1 mentorship from industry leaders. Dive behind the scenes of the world’s leading blockchain ecosystem while building the skills to thrive in Web3. Launch your career with purpose—join us in shaping the future of digital innovation.
Who May Apply
Candidates with up to 5 years of relevant work experience
Responsibilities
- Design and develop AI-powered productivity tools for internal engineering teams, including coding assistants, knowledge retrieval systems, developer tools and workflow automation.
- Build and integrate LLM-powered applications for real-world engineering use cases, such as code generation, code understanding, testing and developer workflow automation.
- Develop AI Agent workflows and supporting infrastructure, including tool calling, context management, memory, evaluation and workflow orchestration.
- Integrate AI capabilities into the software development lifecycle, from requirements and development to testing and deployment, to improve engineering productivity.
- Work closely with engineering teams to identify development bottlenecks and translate them into practical AI-driven solutions.
- Apply approaches such as Prompt Engineering, RAG, AI Agents and MCP/tool calling, and continuously evaluate emerging AI technologies for practical adoption.
- Own projects end-to-end, from problem definition and technical design to implementation, deployment and iteration.
Requirements
- Bachelor's degree or above in Computer Science, Data Science, Software Engineering or a related field.
- 1–5 years of software engineering or applied AI engineering experience.
- Proficient in at least one programming language, such as Python, Java, Go or JavaScript/TypeScript.
- Solid software engineering fundamentals, including API integration, system design, debugging and testing.
- Hands-on experience building or integrating LLM-powered applications.
- Practical understanding of one or more of LLM Agents, RAG, Prompt Engineering, MCP/tool calling, context management or AI evaluation.
- Experience with backend, platform or full-stack development and integrating AI capabilities into production or internal workflows.
- Strong problem-solving and learning ability, with a hands-on and proactive approach.
- Good communication and collaboration skills, with the ability to work closely with engineering teams to understand and solve real-world problems.
Bonus Points
- Experience building AI productivity tools, developer tools, internal platforms or workflow automation systems.
- Experience with AI Agent frameworks, Agent memory, tool orchestration or multi-agent systems.
- Experience integrating LLMs into software development workflows, such as coding, testing, code review or deployment.
- Experience with RAG, knowledge systems, search or documentation platforms.
- Exposure to DevOps, CI/CD, cloud infrastructure or engineering automation.
- Experience with LangChain, Claude Agent SDK, MCP or similar AI tooling.
- Open-source contributions or an active GitHub portfolio.
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)
Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
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