Binance Accelerator Program - AI Agent Engineer
At a glance
Mid-level AI Engineering role at Binance. Remote, Singapore.
Pay not stated AI Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Help develop AI agents that connect with systems already running in production
- Build and maintain datasets for checking agent accuracy, safety and overall performance
- Shape prompts, connect tools and improve the workflows agents follow
- Create, test and tune backend, data, scripting and automation services with senior engineers
- Review code, troubleshoot issues and document systems as you help with design and deployment
What you bring
- You are enrolled in a computer science, software engineering or related degree program
- You can program in at least one language, such as Python, Go, TypeScript or a comparable option
- You understand data structures, algorithms and version control, and have used an AI agent framework
Who this fits
This internship suits current students or recent graduates who want practical experience building AI agents and related engineering systems. Expect hands-on collaboration with senior engineers, code reviews and learning through mentorship. The program runs for three to six months; work-from-home arrangements can vary by team.
From the employer
About the Role
We are building cutting-edge AI systems that enable the next generation of intelligent applications. Our team focuses on developing AI agents, benchmarking datasets, and robust infrastructure to support real-world deployments at scale. As part of our engineering-driven culture, you'll be exposed to a fast-paced environment where experimentation, collaboration, and innovation are encouraged.
Responsibilities
- Contribute to the design and development of AI agents integrated into live production systems
- Help build and maintain benchmark datasets to evaluate agent performance, accuracy, and safety
- Design and refine prompts, tool integrations, and agent workflows
- Implement, test, and optimize services and tooling across the stack — backend, data, scripting, automation, and glue code
- Collaborate closely with senior engineers on system design, multi-agent orchestration, and deployment
- Participate in code reviews, debugging, and documentation to ensure best practices
- Work in a team environment that encourages mentorship, knowledge sharing, and hands-on learning
Requirements
- Currently pursuing a degree in Computer Science, Software Engineering, or a related field
- Strong programming fundamentals — language-agnostic, but practical experience with at least one of Python, Go, TypeScript, or similar
- Solid understanding of software engineering principles (data structures, algorithms, version control)
- Familiarity or working knowledge of any AI agent framework (e.g., OpenClaw, hermes-agent, LangChain, CrewAI, AutoGen)
- Interest in AI, data-driven systems, and building tools for real-world applications
- Good communication skills and willingness to learn quickly
What We're Looking For (Culture & Mindset)
- AI-native working style — you naturally reach for AI tools in your daily workflow, not as an afterthought but as a core part of how you think, build, and solve problems
- Eager to learn and open-minded — you stay current with the latest technologies and aren't afraid to adopt new frameworks, tools, or paradigms before they're mainstream
- First-principles thinker who's comfortable redesigning workflows rather than just optimizing existing ones
Nice to Haves
- Experience with LLMs, prompt engineering, or building tools on top of AI models
- Exposure to multi-agent systems or agent orchestration patterns
- Familiarity with Docker, cloud platforms, or CI/CD pipelines
- Machine learning knowledge is a plus, but not required