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python typescript langgraph llm cli📋 Description
- Build, publish, maintain OpenClaw skills for hundreds of agents
- Develop CLI tooling for agent ops: deployment, diagnostics, session mgmt, registry
- Own end-to-end AI agent harness engineering: lifecycle, tool execution, context tuning
- Instrument agent fleet with data pipelines and dashboards; analyze token efficiency
- Identify bottlenecks to improve throughput, quality, cost efficiency
- Track research frontier and prototype integrations (new model capabilities, agent frameworks)
🎯 Requirements
- 5+ years in software/platform engineering; 2+ years with LLM or AI agent systems in production
- AI Native mindset—default to AI-assisted development
- Skill & CLI development: TypeScript and/or Python fluency
- Agent harness engineering: OpenClaw, LangGraph, AutoGen, CrewAI
- LLM infrastructure: token management, model routing, context compaction, cost optimization at scale
- Data science capability: log analysis, SQL/Python for usage data
🎁 Benefits
- Shape the future with the world’s leading blockchain ecosystem
- Collaborate with world-class talent in a flat, global organization
- Tackle unique, fast-paced projects with autonomy in an innovative environment
- Career growth and continuous learning opportunities
- Work-from-home arrangement (may vary by team)
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