Binance is a leading global blockchain ecosystem behind the worlds 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: youll build the infrastructure and tooling that makes every agent faster smarter and more impactful directly translating into operational efficiency gains and accelerating business growth.
Were 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. Youll own the full stack from agent skill authorship to infrastructure tuning and youll 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 maintainOpenClaw skills modular capability units used by hundreds of agents across the org to automate repetitive work and unlock new business capabilities
DevelopCLI toolingfor agent operations: deployment diagnostics session management skill registry and developer workflows
Own end-to-endAI agent harness engineering: lifecycle management tool execution context/session tuning compaction strategies model routing
Instrument the agent fleet with data pipelines and dashboards; applydata science techniquesto 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 whats worth integrating and what isnt
Vibe coding: ships fast using AI-assisted workflows; iterative pragmatic high output-to-noise ratio with strong engineering fundamentals
Nice to have
Direct experience withOpenClaw 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 worlds 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.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. 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.
Required Experience:
Unclear Seniority
Binance is a leading global blockchain ecosystem behind the worlds 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 unmatch...
Binance is a leading global blockchain ecosystem behind the worlds 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: youll build the infrastructure and tooling that makes every agent faster smarter and more impactful directly translating into operational efficiency gains and accelerating business growth.
Were 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. Youll own the full stack from agent skill authorship to infrastructure tuning and youll 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 maintainOpenClaw skills modular capability units used by hundreds of agents across the org to automate repetitive work and unlock new business capabilities
DevelopCLI toolingfor agent operations: deployment diagnostics session management skill registry and developer workflows
Own end-to-endAI agent harness engineering: lifecycle management tool execution context/session tuning compaction strategies model routing
Instrument the agent fleet with data pipelines and dashboards; applydata science techniquesto 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 whats worth integrating and what isnt
Vibe coding: ships fast using AI-assisted workflows; iterative pragmatic high output-to-noise ratio with strong engineering fundamentals
Nice to have
Direct experience withOpenClaw 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 worlds 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.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. 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.
Required Experience:
Unclear Seniority
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Posted on:
2 days ago
Vacancies:
1 Vacancy
