Role in brief
Binance is hiring a junior AI Agent Engineer to design and build AI and LLM-powered systems for real business applications. This role involves developing tools, improving agent performance, and collaborating with various teams. It suits early-career professionals with strong programming skills in Java, Python, or TypeScript, and a keen interest in AI agents and large language models.
About the role
This role focuses on designing and building AI agent workflows and systems powered by large language models (LLMs) for practical business use cases. Responsibilities include developing and integrating tools for these agents, such as APIs, internal services, databases, and operational systems. The engineer will also be involved in crafting prompt structures, orchestration logic, and memory patterns to support end-to-end delivery of AI solutions.
A key aspect of the position is improving the quality, latency, reliability, safety, and cost-effectiveness of AI agents through continuous testing, evaluation, and iteration. The engineer will collaborate closely with product, business, and operations teams to translate complex business problems into functional AI solutions. This involves contributing to backend services, internal platforms, and user interfaces to ensure seamless integration and delivery.
Success in this role means defining reusable engineering patterns, guardrails, and evaluation approaches for production AI agents. The ideal candidate will possess strong programming fundamentals and good software engineering judgment, including experience with APIs, debugging, system design, and data handling. A strong curiosity about LLMs, AI agents, and production AI systems is essential, along with the ability to learn quickly and work effectively in ambiguous environments.
The annual salary for this position ranges from $112,000 to $188,000.
Skills that matter here
- Java: This role requires strong programming fundamentals in Java for developing backend services and AI systems.
- Python: Strong programming fundamentals in Python are necessary for building AI agent workflows and LLM-powered systems.
- TypeScript: Proficiency in TypeScript is a plus for developing interfaces and contributing to backend services.
- APIs: The role involves integrating tools for agents using APIs and demonstrating good software engineering judgment in their use.
- System Design: Candidates should possess good software engineering judgment in system design when building AI agent workflows and backend services.
- LLMs: A strong curiosity about Large Language Models is required, as the role involves designing and building LLM-powered systems.
Who this role suits
- A person who thrives on translating ambiguous business problems into practical AI solutions.
- Someone with a strong curiosity for AI agents, LLMs, and production AI systems, eager to learn and adapt quickly.
- An individual who enjoys collaborating with diverse teams, including product, business, and operations.
- A junior professional with solid programming fundamentals and good judgment in software engineering practices.
From the employer
- Design and build AI agent workflows and LLM-powered systems for real business use cases
- Develop and integrate tools for agents, including APIs, internal services, databases, knowledge sources, and operational systems
- Improve agent quality, latency, reliability, safety, and cost through testing, evaluation, and iteration
- Build prompt structures, orchestration logic, memory or retrieval patterns, and human handoff flows where needed
- Collaborate with product, business, and operations teams to translate ambiguous business problems into practical AI solutions
- Contribute to backend services, internal platforms, and lightweight interfaces to support end-to-end delivery
- Help define reusable engineering patterns, guardrails, and evaluation approaches for production AI agents
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, Mathematics, or a related field
- 0–3 years of software engineering, AI engineering, or relevant internship/project experience
- Strong programming fundamentals in Java or Python, TypeScript, or backend development is a plus
- Good software engineering judgment, including APIs, debugging, system design, and data handling
- Strong curiosity about LLMs, AI agents, tool use, retrieval, evaluation, and production AI systems
- Ability to learn new domains quickly and work effectively in ambiguous environments
- Ability to read, understand, and improve AI-generated code, or learn to do so very quickly
- Good communication skills and the ability to connect technical work to business value
- 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 seniority level for this position?
This is a junior-level role, part of the Pioneer Talent Program, suitable for individuals with 0-3 years of relevant experience.
What programming languages are important for this role?
Strong programming fundamentals in Java or Python are required, and proficiency in TypeScript is considered a plus.
How do I apply for this position?
The job description does not specify the application process, but typically applications are submitted through the company's career portal.