AI Harness Engineer
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Job Description
AI Harness Engineer building reliable AI tools, agent harnesses, and P2P systems for Tether’s local AI assistants. Advancing QVAC within Tether’s blockchain-powered digital finance ecosystem.
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 support for a wide variety of AI model types and sizes
- Maintain codebase quality through coding standards, code reviews, and automated testing
- Implement and develop P2P technology for local AI
- Connect people to local AI and advance AI assistant capabilities through QVAC
Requirements:
- 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
Benefits:
- 100% remote, worldwide work arrangement
- Opportunity to work on pioneering digital finance and local AI technology
- Work with P2P technology enabling limitless scale
- Opportunity to contribute to Tether’s open-source and AI ecosystem
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