AI代理平台工程师（Openclaw）

Tags: Web3 Jobs • Web3 Ai Jobs • Web3 Engineering Jobs • Web3 Web3 Jobs • Cryptocurrency Data Jobs • Blockchain Kubernetes JobsBinance 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.
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.ResponsibilitiesBuild, publish, and maintain OpenClaw skills — modular capability units used by hundreds of agents across the org to automate repetitive work and unlock new business capabilitiesDevelop CLI tooling for agent operations: deployment, diagnostics, session management, skill registry, and developer workflowsOwn end-to-end AI agent harness engineering: lifecycle management, tool execution, context/session tuning, compaction strategies, model routingInstrument the agent fleet with data pipelines and dashboards; apply data science techniques to understand token efficiency, failure modes, latency distribution, and business outcome correlationIdentify bottlenecks across the platform and drive measurable improvements in agent throughput, response quality, and cost efficiency — directly supporting user growth and retentionTrack 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 managementHarden agent sandboxes: credential isolation, prompt injection defense, guardrailsPartner with product and business teams to translate user growth goals into reliable, scalable agent workflowsRequirements5+ years in software/platform engineering; 2+ year hands-on with LLM or AI agent systems in productionAI 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 doSkill & CLI development: experience building modular, composable tools or CLI utilities for developer platforms; TypeScript and/or Python fluencyAgent harness engineering: practical experience with OpenClaw, LangGraph, AutoGen, CrewAI, or equivalent orchestration runtimesLLM infrastructure: token management, model routing, context compaction, cost optimization at scaleData science capability: comfortable with log analysis, statistical profiling, SQL/Python for usage data; can translate raw telemetry into actionable insights that drive platform decisionsResearch awareness: follows model releases, agent framework updates, and relevant literature; can quickly assess what's worth integrating and what isn'tVibe coding: ships fast using AI-assisted workflows; iterative, pragmatic, high output-to-noise ratio with strong engineering fundamentalsNice to haveDirect experience with OpenClaw — session config, hooks, cron/heartbeat architecture, skill registry (ClawHub)Familiarity with CLI (Command Line Interface) and the agent tooling ecosystemLiteLLM / AWS Bedrock / multi-provider proxy experienceKubernetes/EKS: pod isolation, resource tuning, secrets managementSecurity engineering background: sandbox escapes, prompt injection, guardrail designWhy 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 (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.By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.**Apply here** 👉 [AI Agent Platform Engineer (Openclaw)](https://cryptojobslist.com/jobs/ai-agent-platform-engineer-openclaw-hong-kong-asia-at-binance?utm_medium=RSS)