pBinance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry‑leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital‑asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world. /p pBinance 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. /p pWe’re looking for a strong individual contributor who stays close to the frontier and has the instinct to turn promising ideas into working implementations. /p pThis 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. /p h3Responsibilities /h3 ul lipBuild, publish, and maintain bOpenClaw skills /b — modular capability units used by hundreds of agents across the org to automate repetitive work and unlock new business capabilities /p /li lipDevelop bCLI tooling /b for agent operations: deployment, diagnostics, session management, skill registry, and developer workflows /p /li lipOwn end-to-end bAI agent harness engineering /b : lifecycle management, tool execution, context/session tuning, compaction strategies,

model routing /p /li lipInstrument the agent fleet with data pipelines and dashboards; apply bdata science techniques /b to understand token efficiency, failure modes, latency distribution, and business outcome correlation /p /li lipIdentify bottlenecks across the platform and drive measurable improvements in agent throughput, response quality, and cost efficiency — directly supporting user growth and retention /p /li lipbTrack the research frontier /b — papers, open-source releases, community developments — and rapidly prototype integrations (new model capabilities, reasoning techniques, agentic frameworks) /p /li lipOptimize LLM infrastructure: token budgeting, multi-provider routing, cost attribution, context window management /p /li lipHarden agent sandboxes: credential isolation, prompt injection defense, guardrails /p /li lipPartner with product and business teams to translate user growth goals into reliable, scalable agent workflows /p /li /ul h3Requirements /h3 ul lip5+ years in software/platform engineering; 2+ year hands‑on with LLM or AI agent systems in production /p /li lipbAI Native mindset /b — you default to AI‑assisted development, think natively in agent/tool/context primitives, and are allergic to doing manually what an agent could do /p /li lipbSkill CLI development /b : experience building modular, composable tools or CLI utilities for developer platforms; TypeScript and/or Python fluency /p /li lipbAgent harness engineering /b : practical experience with OpenClaw, LangGraph, AutoGen, CrewAI,

or equivalent orchestration runtimes /p /li lipbLLM infrastructure /b : token management, model routing, context compaction, cost optimization at scale /p /li lipbData science capability /b : comfortable with log analysis, statistical profiling, SQL/Python for usage data; can translate raw telemetry into actionable insights that drive platform decisions /p /li lipbResearch awareness /b : follows model releases, agent framework updates, and relevant literature; can quickly assess what’s worth integrating and what isn’t /p /li lipbVibe coding /b : ships fast using AI‑assisted workflows; iterative, pragmatic, high output-to-noise ratio with strong engineering fundamentals /p /li /ul h3Nice to have /h3 ul lipDirect experience with bOpenClaw /b — session config, hooks, cron/heartbeat architecture, skill registry (ClawHub) /p /li lipFamiliarity with CLI (Command Line Interface) and the agent tooling ecosystem /p /li lipLiteLLM / AWS Bedrock / multi-provider proxy experience /p /li lipKubernetes/EKS: pod isolation, resource tuning, secrets management /p /li lipSecurity engineering background: sandbox escapes, prompt injection, guardrail design /p /li /ul h3Why Binance /h3 pShape the future with the world’s leading blockchain ecosystem /p pCollaborate with world‑class talent in a user‑centric global organization with a flat structure /p pTackle unique, fast‑paced projects with autonomy in an innovative environment /p pThrive in a results‑driven workplace with opportunities for career growth and continuous learning /p pCompetitive salary and company benefits /p pWork‑from‑home arrangement (the arrangement may vary depending on the work nature of the business team) /p pBinance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success. /p pBy submitting a job application, you confirm that you have read and agree to our bCandidate Privacy Notice /b. /p #J-18808-Ljbffr

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