AI Agent Developer - 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 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

About the Role

We are looking for an AI Agent Engineer to join our team as part of Tech Seeds 2026. This is an engineering-first role for someone who wants their work to have real-world impact — not just demos, but agent systems that ship. You will work alongside senior engineers to design and build AI agents, workflows, and internal AI systems that improve our products and operational efficiency. This role is especially suited for candidates who are curious, fast learners, and excited to build practical AI systems in production. Production agent design today is typically centered on clear tool integration, strong instructions, safe execution, and iterative rollout, rather than purely academic model work.

What You'll Do

Design and build AI agent workflows and LLM-powered systems for real business use cases

Develop and integrate tools for agents, including APIs, internal services, databases, knowledge sources, and operational systems

Improve agent quality, latency, reliability, safety, and cost through testing, evaluation, and iteration

Build prompt structures, orchestration logic, memory or retrieval patterns, and human handoff flows where needed

Collaborate with product, business, and operations teams to translate ambiguous business problems into practical AI solutions

Contribute to backend services, internal platforms, and lightweight interfaces to support end-to-end delivery

Help define reusable engineering patterns, guardrails, and evaluation approaches for production AI agents<