Remote AI Agent Engineer Intern: Build Production LLM Apps

Binance; Singapore; Teletrabalho; SGD 20 000 - 27 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Remote-first

Competitive compensation

Resumo da oferta

Binance Accelerator Program is seeking an Applied AI Application Engineer intern, to work on AI-native production systems, agent workflows, and backend integrations. You will own deliverables, run experiments, and ship code that matters during the Tech Seeds 2026 program.

You will collaborate with engineers to design and test LLM-powered components, improve performance, and contribute to backend services and APIs while learning in a fast-moving environment.

Qualificações

• Pursuing a Bachelor's or Master's in CS/SE/Data Science with graduation 2026 or 2027.
• Strong Python or Java programming skills and backend familiarity.
• Experience with APIs, debugging, and data handling.
• Interest in LLMs, AI agents, and real-world system design.
• Available for a 6-month full-time internship.
• Bonus: projects involving LLMs, OpenAI/Anthropic/Hugging Face, LangChain, or cloud tooling.

Responsabilidades

• Design AI agent workflows and LLM-powered application 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.

Conhecimentos

Python

Java

APIs

Backend

Formação académica

CS/SE/DS degree

Ferramentas

Git

Databases

Cloud platforms

OpenAI APIs

Descrição da oferta de emprego

Binance Accelerator Program is seeking an Applied AI Application Engineer intern, to work on AI-native production systems, agent workflows, and backend integrations. You will own deliverables, run experiments, and ship code that matters during the Tech Seeds 2026 program.

You will collaborate with engineers to design and test LLM-powered components, improve performance, and contribute to backend services and APIs while learning in a fast-moving environment.