Binance Accelerator Program - Applied AI Application Engineer

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.

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.

Current university students and recent graduates.

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 intern, 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.

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

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

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.