AI Harness Engineer
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Job Description
AI Harness Engineer building agent harnesses and P2P technology for Tether’s local AI products. Delivering reliable tools, modules, and scalable integrations across model types.
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 while ensuring success of a wide variety of model types and sizes
- Maintain high codebase quality through consistent coding standards, code reviews, and automated testing
- Implement and develop P2P technology for use with local AI
- Develop innovative ways to connect people to local AI and help AI become a fixture in everyday life
- Push QVAC to new levels using P2P technology to enable limitless scale
Requirements:
- 5+ years building production software, with 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, with 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
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