P2P AI Engineer — Local AI & Agent Harness

Tether

United States

Remote

USD 150,000 - 230,000

Full time

14 days+

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Job summary

Tether is seeking an AI Harness Engineer to drive innovative local AI integrations and P2P technology across our platforms. You will develop and extend agent harnesses, tool calling, and robust AI tooling to scale up to diverse model types and sizes.

You will contribute to designing for resilience, building evals for non-deterministic systems, and maintaining high-quality code through reviews and automated tests. Join us to shape AI capabilities and secure scalable, private data sharing.

Qualifications

  • 5+ years building production software.
  • 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.

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

Skills

P2P systems
AI/LLM tooling
JavaScript/TypeScript
Agent harnesses
Eval/test infrastructure
Open-source contributions

Job description

Tether is seeking an AI Harness Engineer to drive innovative local AI integrations and P2P technology across our platforms. You will develop and extend agent harnesses, tool calling, and robust AI tooling to scale up to diverse model types and sizes.

You will contribute to designing for resilience, building evals for non-deterministic systems, and maintaining high-quality code through reviews and automated tests. Join us to shape AI capabilities and secure scalable, private data sharing.

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