Role in brief
Binance is offering an internship for an Applied AI Agent Developer. This role focuses on building and improving AI agent workflows and LLM-powered applications, collaborating with engineers on production systems. It suits students pursuing computer science or related degrees with strong programming skills and an interest in AI, looking for hands-on experience in a blockchain environment.
About the role
This internship involves contributing to the design and development of AI agent workflows and applications powered by large language models (LLMs). The role requires building and testing various components, including prompt strategies, retrieval flows, and backend integrations. You will also help define evaluation metrics, run benchmarks, and analyze system failures to improve performance across quality, latency, reliability, and cost.
A key aspect of this position is collaborating with engineers and cross-functional teams to understand how AI systems are designed, deployed, and refined in a production setting. You will use AI coding tools as part of your daily workflow to accelerate development. Additionally, there will be opportunities to contribute to backend services, APIs, internal tools, or user interfaces as needed.
Success in this role means effectively supporting the development of AI agent solutions and contributing to the improvement of system performance. It involves demonstrating a strong ability to learn quickly, break down complex problems, and translate ideas into working prototypes within a fast-moving environment. The ideal candidate will be proactive and curious about AI, eager to turn theoretical concepts into practical, real-world systems.
The annual salary for this internship ranges from $68,000 to $112,000 USD.
Skills that matter here
- Python: Solid programming skills in Python are required for developing AI agent workflows and backend services.
- Java: Solid programming skills in Java are an alternative to Python for developing AI agent workflows and backend services.
- APIs: Comfort working with APIs is necessary for integrating various components and services within AI applications.
- AI: The role focuses on applied AI, specifically in designing and developing AI agent workflows and LLM-powered applications.
- LLMs: Direct involvement with LLMs is central to the role, including building and testing prompt strategies and application components.
- backend engineering: Familiarity with backend engineering is preferred for contributing to services and integrations that support AI systems.
Who this role suits
- You are currently pursuing a Bachelor’s or Master’s degree in a relevant technical field, with an expected graduation in 2026 or 2027.
- You possess good problem-solving abilities and are comfortable debugging and handling data.
- You have a strong curiosity about LLMs, AI agents, and automation, and are interested in real-world system design.
- You are a proactive, builder-minded individual who experiments with AI tools and thrives in a fast-paced learning environment.
From the employer
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:
- 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.
Additional:
- Why Binance
- Shape the future with the world’s leading blockchain ecosystem
- Collaborate with world-class talent in a user-centric global organization with a flat structure
- Tackle unique, fast-paced projects with autonomy in an innovative environment
- Thrive in a results-driven workplace with opportunities for career growth and continuous learning
- Competitive salary and company benefits
- Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)
Questions about this role
What is the remote work policy for this internship?
This is a remote internship, and the work-from-home arrangement may vary depending on the business team's needs.
What is the seniority level of this position?
This position is for a trainee, suitable for individuals currently pursuing a Bachelor's or Master's degree.
What programming languages are required for this role?
Solid programming skills in either Python or Java are required, with familiarity in backend engineering preferred.