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About the role

  • AI Harness Engineer building reliable AI tools, agent harnesses, and P2P systems for Tether’s local AI platform. Developing QVAC features that connect users to scalable local AI.

Responsibilities

  • Deliver new features and bug fixes with a focus on reliability, performance, and user satisfaction
  • Design and develop new tools and modules enabling new AI capabilities
  • Ensure success across a wide variety of model types and sizes
  • Maintain high codebase quality through coding standards, code reviews, and automated testing
  • Implement and develop P2P technology for use with local AI
  • Push QVAC to new levels using P2P technology to enable limitless scale
  • Develop innovative ways to connect people to local AI and integrate AI into everyday life

Requirements

  • Strong competency in writing modular, maintainable code
  • Experience creating and managing reusable npm modules
  • Solid skillset in testing and debugging
  • Strong understanding of and comfort with developing and using AI tools
  • Deep interest or experience with P2P technologies or distributed systems
  • Comfort working in a remote, globally distributed team
  • Good communication skills
  • 5+ years building production software
  • Deep experience in P2P systems, AI/LLM tooling, or both
  • Hands-on experience building agent harnesses, including tool calling, agent loops, context management, and structured outputs
  • Experience building evals and test infrastructure for non-deterministic systems
  • Strong JavaScript/TypeScript skills
  • Experience modelling complex state, from sync protocols to agent loops
  • Open-source contributions to P2P, networking, or AI tooling projects
  • Experience designing for failure, including network partitions, model errors, timeouts, and retries
  • Hacker who never stops experimenting

Benefits

  • Remote work
  • Opportunity to work with cutting-edge blockchain, AI, and P2P technologies
  • Work with a globally distributed team
  • Opportunity to contribute to innovative local AI assistant technology
  • Open-source contribution opportunities

Job type

Full Time

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

No Education Requirement

Tech skills

Distributed SystemsJavaScriptTypeScript

Location requirements

RemoteWorldwide

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