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Binance Accelerator Program - Applied AI Agent Engineer

30+ days ago 2026/08/20
Other Business Support Services
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Job description

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, 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 Binance Accelerator Program
Binance Accelerator Program is a concise fixed-term program designed for Early Career Talent to have an immersive experience in the rapidly expanding Web3 space. You will be given the opportunity to experience life at Binance and understand what goes on behind the scenes of the worlds’ leading blockchain ecosystem. Alongside your job, there will also be a focus on networking and development, which will expand your professional network and build transferable skills to propel you forward in your career. Learn about BAP Program HERE
Who may apply
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.


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.



Learn about BAP Program HERE
Who may apply
Current University students and recent Graduates who can commit at least 6 months tenure, 5 days per week



Responsibilities:


    • 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




Requirements:


    • 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 Point


    • 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




This job post has been translated by AI and may contain minor differences or errors.
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