AI Agent Platform Engineer (Openclaw) at Binance

About Binance

Binance is a leading global blockchain ecosystem behind the world's largest cryptocurrency exchange by trading volume and registered users. Trusted by more than 300 million people in over 100 countries, Binance is known for industry leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital asset products. Its offerings span trading and finance, education, research, payments, institutional services, Web3 features, and more. Binance leverages digital assets and blockchain to build an inclusive financial ecosystem that advances the freedom of money and improves financial access for people around the world.

About the Role

Binance is building one of the largest internal AI agent fleets in the industry: hundreds of sandboxed agents powering automation across trading, compliance, customer service, risk, and beyond. This role sits at the core of that platform. You will build the infrastructure and tooling that makes every agent faster, smarter, and more impactful, directly translating into operational efficiency gains and accelerating business growth.

We are looking for a strong individual contributor who stays close to the frontier and has the instinct to turn promising ideas into working implementations. This is a builder role. You will own the full stack from agent skill authorship to infrastructure tuning, and you will be the person who spots a new technique in the wild and figures out how to make it real inside our platform.

Responsibilities

• Build, publish, and maintain OpenClaw skills, the modular capability units used by hundreds of agents across the organization to automate repetitive work and unlock new business capabilities.
• Develop CLI tooling for agent operations including deployment, diagnostics, session management, skill registry, and developer workflows.
• Own end to end AI agent harness engineering: lifecycle management, tool execution, context and session tuning, compaction strategies, and model routing.
• Instrument the agent fleet with data pipelines and dashboards, and apply data science techniques to understand token efficiency, failure modes, latency distribution, and business outcome correlation.
• Identify bottlenecks across the platform and drive measurable improvements in agent throughput, response quality, and cost efficiency to directly support user growth and retention.
• Track the research frontier such as papers, open source releases, and community developments, and rapidly prototype integrations including new model capabilities, reasoning techniques, and agentic frameworks.
• Optimize LLM infrastructure covering token budgeting, multi provider routing, cost attribution, and context window management.
• Harden agent sandboxes through credential isolation, prompt injection defense, and guardrails.
• Partner with product and business teams to translate user growth goals into reliable, scalable agent workflows.

Requirements

• 5+ years in software or platform engineering, with 2+ years hands on with LLM or AI agent systems in production.
• AI native mindset: you default to AI assisted development, think natively in agent, tool, and context primitives, and are allergic to doing manually what an agent could do.
• Skill and CLI development: experience building modular, composable tools or CLI utilities for developer platforms, with TypeScript and/or Python fluency.
• Agent harness engineering: practical experience with OpenClaw, LangGraph, AutoGen, CrewAI, or equivalent orchestration runtimes.
• LLM infrastructure: token management, model routing, context compaction, and cost optimization at scale.
• Data science capability: comfortable with log analysis, statistical profiling, and SQL/Python for usage data, able to translate raw telemetry into actionable insights that drive platform decisions.
• Research awareness: follows model releases, agent framework updates, and relevant literature, and can quickly assess what is worth integrating and what is not.
• Vibe coding: ships fast using AI assisted workflows, iterative and pragmatic with a high output to noise ratio and strong engineering fundamentals.

Nice to Have

• Direct experience with OpenClaw including session config, hooks, cron/heartbeat architecture, and skill registry (ClawHub).
• Familiarity with CLI (Command Line Interface) and the agent tooling ecosystem.
• LiteLLM, AWS Bedrock, or multi provider proxy experience.
• Kubernetes/EKS experience with pod isolation, resource tuning, and secrets management.
• Security engineering background covering sandbox escapes, prompt injection, and guardrail design.

Why Binance

• 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, which may vary depending on the work nature of the business team.

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