Binance Accelerator Program - Applied AI Agent Engineer
AI Summary
Applied AI Agent Engineer intern role focused on building AI agent workflows, LLM-powered components, and production system integration. Owns deliverables, runs experiments, and ships code with cross-functional collaboration.
About this role
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.
Responsibilities:
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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
Requirements:
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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
Bonus Point
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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
Skills
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