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
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