Binance Accelerator Program - Applied AI Agent Engineer
Quick Summary
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…
About the Role
~1 min readThis 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.
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.
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Support the design and development of AI agent workflows and LLM-powered application components
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Build and test prompt strategies, retrieval flows, tool-use logic, orchestration patterns, and backend integrations
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Assist in defining evaluation metrics, running benchmarks, and analyzing failure cases
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Improve system performance across quality, latency, reliability, safety, and cost
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Use AI coding tools as a normal part of your workflow to accelerate development and problem-solving
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Collaborate with engineers and cross-functional teams to understand how production AI systems are designed, deployed, and improved
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Contribute to backend services, APIs, internal tools, or lightweight user interfaces when needed
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Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or a related field
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Expected graduation in 2026 or 2027
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Solid programming skills in Python or Java; familiarity with backend engineering is preferred
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Good problem-solving ability and comfort working with APIs, debugging, and data
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Strong curiosity about LLMs, AI agents, automation, and real-world system design
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Ability to break down ambiguous problems and move from idea to working prototype
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Comfortable learning quickly and working in a fast-moving environment
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Available for a 6-month full-time commitment
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Personal projects or coursework involving LLM applications, agent systems, automation, or AI-assisted development
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Familiarity with OpenAI APIs, Anthropic APIs, Hugging Face, LangChain, vector databases, or workflow tools
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Experience with Git, databases, backend services, or cloud platforms
Location & Eligibility
Listing Details
- Posted
- August 13, 2025
- First seen
- April 21, 2026
- Last seen
- June 20, 2026
Posting Health
- Days active
- 59
- Repost count
- 0
- Trust Level
- 39%
- Scored at
- June 20, 2026
Signal breakdown

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