Binance Accelerator Program - Applied AI Agent Developer

Job description

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. Binance is trusted by more than 320 million people in 100+ countries for its industry-leading security, transparency, trading engine speed, protections for investors, and unmatched portfolio of digital asset products and offerings from trading and finance to education, research, social good, payments, institutional services, and Web3 features. Binance is devoted to building an inclusive crypto ecosystem to increase the freedom of money and financial access for people around the world with crypto as the fundamental means. **About Binance Accelerator Program** Binance Accelerator Program (BAP) is a 3-6 month internship program designed for Early Career talent to have firsthand experience in the rapidly expanding digital assets space. You will be given the opportunity to develop your skills at Binance and understand what it’s like to work at the world's leading blockchain ecosystem. As part of your internship in the BAP, there will also be opportunities for networking and development, which will expand your professional network and build transferable skills to propel you forward in your career. Learn about the BAP Program [HERE](https://www.binance.com/en/blog/all/early-career-program-how-binance-gears-up-early-career-talent-6771140985933048651). **Who may apply** Current university students and recent graduates. *\*Terms of employment / engagement shall be subject to contract and local applicable laws* ### About the Role This internship is part of Tech Seeds 2026 — our program to identify and develop AI-native young talent. As an Applied AI Agent Engineer young talent, you will take on a hands-on builder role at the intersection of LLMs and production systems, working alongside full-time engineers on agent workflows, tool integrations, backend services, and AI system architecture from day one. This is not a shadowing role. You will own deliverables, run experiments, and ship code that matters. ### What You'll Do - Support the design and development of AI agent workflows and LLM-powered application components - Build and test prompt strategies, retrieval flows, tool-use logic, orchestration patterns, and backend integrations - Assist in defining evaluation metrics, running benchmarks, and analyzing failure cases - Improve system performance across quality, latency, reliability, safety, and cost - Use AI coding tools as a normal part of your workflow to accelerate development and problem-solving - Collaborate with engineers and cross-functional teams to understand how production AI systems are designed, deployed, and improved - Contribute to backend services, APIs, internal tools, or lightweight user interfaces when needed ### What We're Looking For - Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or a related field - Expected graduation in 2026 or 2027 - Solid programming skills in Python or Java; familiarity with backend engineering is preferred - Good problem-solving ability and comfort working with APIs, debugging, and data - Strong curiosity about LLMs, AI agents, automation, and real-world system design - Ability to break down ambiguous problems and move from idea to working prototype - Comfortable learning quickly and working in a fast-moving environment - Available for a 6-month full-time commitment ### Bonus Points - Have experience in Ontology/semantica - Personal projects or coursework involving LLM applications, agent systems, automation, or AI-assisted development - Familiarity with OpenAI APIs, Anthropic APIs, Hugging Face, LangChain, vector databases, or workflow tools - Experience with Git, databases, backend services, or cloud platforms ### What Makes You a Fit for Tech Seeds 2026 You are curious, proactive, and builder-minded. You already experiment with AI tools on your own, learn quickly, and want to turn AI ideas into practical systems that work in the real world.