Role in brief
Binance is hiring an AI Agent Platform Engineer to develop and maintain the infrastructure for their internal AI agent fleet. This role involves building tools, optimizing LLM infrastructure, and ensuring the operational efficiency of AI agents. Candidates with experience in LLM systems, platform engineering, and specific AI agent frameworks should apply.
About the role
This role focuses on developing and maintaining the core infrastructure that supports Binance's AI agent fleet. The work involves creating tools for agent operations, building data pipelines for monitoring performance, and continuously improving the underlying LLM infrastructure. Success in this position means enabling the efficient and secure operation of a large-scale AI agent system that automates various internal processes.
The team is responsible for the entire lifecycle of AI agent harness engineering, from initial development to ongoing maintenance and optimization. This includes hardening agent sandboxes and integrating new research findings into the platform. Collaboration with product and business teams is essential to ensure the AI agents meet organizational needs and contribute to business growth.
A key aspect of this position is staying current with advancements in AI agent technology and large language models. The engineer will prototype new integrations and identify areas for improvement within the existing system. The goal is to build a robust and scalable platform that supports Binance's ambition to deploy one of the largest internal AI agent fleets in the industry.
The annual salary for this position ranges from $180,000 to $218,900 USD.
Skills that matter here
- TypeScript: Used for developing and maintaining parts of the AI agent platform and associated tooling.
- Python: A primary language for building AI agent systems, CLI tools, and data pipelines.
- OpenClaw: Directly involved in building, publishing, and maintaining skills for the AI agents.
- LangGraph: Practical experience with this framework is required for developing AI agent systems.
- Kubernetes: Used for managing and orchestrating the AI agent infrastructure, likely for deployment and scaling.
- SQL: Applied in instrumenting the agent fleet with data pipelines and dashboards, likely for data storage and retrieval.
Who this role suits
- A candidate with at least five years in software or platform engineering, including significant experience with LLM or AI agent systems.
- Someone who enjoys building and maintaining infrastructure, with a focus on operational efficiency and scalability.
- An individual who is proactive in identifying bottlenecks and driving improvements within complex systems.
- A person who stays informed about new research in AI and is capable of prototyping new integrations.
From the employer
- Build, publish, and maintain OpenClaw skills.
- Develop CLI tooling for agent operations.
- Own end-to-end AI agent harness engineering.
- Instrument the agent fleet with data pipelines and dashboards.
- Identify bottlenecks and drive improvements.
- Track research frontier and prototype integrations.
- Optimize LLM infrastructure.
- Harden agent sandboxes.
- Partner with product and business teams.
- 5+ years in software/platform engineering.
- 2+ years hands-on with LLM or AI agent systems.
- Experience with skill & CLI development.
- Practical experience with OpenClaw, LangGraph, AutoGen, CrewAI.
- Data science capability.
- Research awareness.
- Vibe coding.
- Shape the future with the world's leading blockchain ecosystem.
- Collaborate with world-class talent.
- Tackle unique, fast-paced projects.
- Thrive in a results-driven workplace.
- Competitive salary and company benefits.
- Work-from-home arrangement.
Questions about this role
What is the remote work policy for this role?
This is a fully remote position, allowing for a work-from-home arrangement.
What level of experience is required for this position?
Candidates should have at least 5 years of experience in software or platform engineering, with 2 or more years specifically in LLM or AI agent systems.
How does this role contribute to Binance's overall mission?
This role contributes by building the infrastructure for an internal AI agent fleet, which enhances operational efficiency and supports business growth across Binance's blockchain ecosystem.