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Binance Accelerator Program - AI Agent Engineer
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 >- 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
What is the salary of a Docker?
Docker is a technology that is used for containerization, and it is widely used in the software development industry
The Docker salary can depends on national averages and may vary depending on the company, location, and other factors
Additionally, the salary of a Docker professional can increase with years of experience and additional skills in related technologies such as Kubernetes or cloud computing
The salary of a Docker can vary depending on several factors such as location, years of experience, industry, and job position
Here are some estimates for the average salaries of Docker-related job positions in the United States based on data from various sources:
- DevOps Engineer with Docker skills: The average salary for a DevOps Engineer with Docker skills in the US is around $115,000 to $150,000 per year.
- Docker Engineer: The average salary for a Docker Engineer in the US is around $110,000 to $140,000 per year.
- Docker Architect: The average salary for a Docker Architect in the US is around $130,000 to $170,000 per year.
- Docker Administrator: The average salary for a Docker Administrator in the US is around $95,000 to $120,000 per year.