Remote AI Agent Engineer Intern - Build LLM Apps & Systems

Blockchain Academics; Hong Kong; A distancia; HKD 167.000 - 234.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote-first policy

Competitive salary

Career growth opportunities

Descripción de la vacante

Binance is seeking an Applied AI Agent Engineer intern as part of Tech Seeds 2026. You will work with full-time engineers on agent workflows, tool integrations, backend services, and AI system architecture from day one.

This internship is hands-on, not shadowing; you will own deliverables, run experiments, and ship code that matters, collaborating across teams while learning rapid scaling of production AI systems.

Formación

• Pursuing a Bachelor's or Master's degree in CS, Software Engineering, Data Science, or a related field.
• Expected graduation in 2026 or 2027.
• Strong Python/Java programming and API/debugging skills.

Responsabilidades

• Support the design and development of AI agent workflows and LLM-powered components.
• Build and test prompt strategies, retrieval flows, tool-use logic, orchestration patterns, and backend integrations.
• Define evaluation metrics, run benchmarks, and analyze failure cases.
• Improve system performance across quality, latency, reliability, safety, and cost.
• Use AI coding tools to accelerate development and problem-solving.
• Collaborate with engineers and cross-functional teams to understand production AI systems are designed and deployed.
• Contribute to backend services, APIs, internal tools, or lightweight UIs when needed.

Conocimientos

Python

Java

LLMs

APIs

Educación

Bachelor's or Master's student in CS/Software/Data Science

Herramientas

OpenAI APIs

Anthropic APIs

Hugging Face

LangChain

Vector databases

Git

Databases

Cloud platforms

Descripción del empleo

Binance is seeking an Applied AI Agent Engineer intern as part of Tech Seeds 2026. You will work with full-time engineers on agent workflows, tool integrations, backend services, and AI system architecture from day one.

This internship is hands-on, not shadowing; you will own deliverables, run experiments, and ship code that matters, collaborating across teams while learning rapid scaling of production AI systems.