Binance

AI Agent Platform Engineer (Openclaw)

Asia

As of 2026-10-06, ChainJobs confirms Binance is hiring an AI Agent Platform Engineer (Openclaw) in Asia; posted 2026-04-14, apply on binance.com.

categoryEngineering
salarynot posted
typeOn-site
posted2026-04-14
sourcebinance.com/careers
confirmed opentoday (2026-10-06)
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Still open on Binance’s own careers page when we last checked, today (2026-10-06). We re-check every listing daily and remove roles the moment they disappear at the source — how this works.

role description

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

Requirements

  • 5+ years in software/platform engineering; 2+ year 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

Nice to have

  • Direct experience with OpenClaw — session config, hooks, cron/heartbeat architecture, skill registry (ClawHub)

  • Familiarity with CLI (Command Line Interface) 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

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 (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.

Sourced from Binance's official listing — full details and how to apply at the link above.

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Listing ID 00015154386a · sourced from Binance's official careers page · Report this listing via the contact form (quote the listing ID)

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