Job Overview

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’ll 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’re 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’ll own the full stack from agent skill authorship to infrastructure tuning, and you’ll 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 — modular capability units used by hundreds of agents across the org to automate repetitive work and unlock new business capabilities
- Develop CLI tooling for agent operations: deployment, diagnostics, session management, skill registry, and developer workflows
- Own end-to-end AI agent harness engineering : lifecycle management, tool execution, context/session tuning, compaction strategies, model routing
- Instrument the agent fleet with data pipelines and dashboards; 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 — directly supporting user growth and retention
- Track the research frontier — papers, open-source releases, community developments — and rapidly prototype integrations (new model capabilities, reasoning techniques, agentic frameworks)
- Optimize LLM infrastructure: token budgeting, multi-provider routing, cost attribution, context window management
- Harden agent sandboxes: credential isolation, prompt injection defense, guardrails
- Partner with product and business teams to translate user growth goals into reliable, scalable agent workflows

Qualifications

- 5+ years in software/platform engineering; 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/context primitives, and are allergic to doing manually what an agent could do
- Skill & CLI development : experience building modular, composable tools or CLI utilities for developer platforms; 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, cost optimization at scale




- Data science capability : comfortable with log analysis, statistical profiling, SQL/Python for usage data; can translate raw telemetry into actionable insights that drive platform decisions
- Research awareness : follows model releases, agent framework updates, and relevant literature; can quickly assess what's worth integrating and what isn't
- Vibe coding : ships fast using AI-assisted workflows; iterative, pragmatic, high output-to-noise ratio with strong engineering fundamentals
- Direct experience with OpenClaw — session config, hooks, cron/heartbeat architecture, skill registry (ClawHub)
- Familiarity with CLI and the agent tooling ecosystem
- LiteLLM / AWS Bedrock / multi-provider proxy experience
- Kubernetes/EKS: pod isolation, resource tuning, secrets management
- Security engineering background: sandbox escapes, prompt injection, guardrail design

Benefits

- Shape the future with the world’s leading blockchain ecosystem
- Collaborate with world-class talent in a user-centric integral 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)

Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.

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📌 AI Agent Platform Engineer (Openclaw) (Asia)
🏢 Binance
📍 Asia