AI Harness Engineer

Accountabilities

• • Build and deliver new features and bug fixes with a strong focus on reliability, performance, and user satisfaction.
  • Design and develop reusable tools, modules, and integrations that enable new AI capabilities across different model types and sizes.
  • Build and maintain AI agent harnesses, including tool calling, agent loops, context management, and structured outputs.
  • Develop evaluation frameworks and testing infrastructure for AI systems with non-deterministic behavior.
  • Implement and evolve peer-to-peer technology to support local AI and distributed use cases.
  • Maintain a high-quality codebase through consistent coding standards, code reviews, modular architecture, and automated testing.
  • Design systems that can reliably handle failures such as network partitions, model errors, timeouts, and retries.
  • Develop and maintain reusable npm modules and shared software components.
  • Experiment with new technologies and approaches to continuously expand AI and P2P capabilities.
  • Collaborate effectively with a globally distributed engineering team while communicating technical ideas clearly.

  Requirements

  • 5+ years of experience building and maintaining production software.
  • Strong proficiency in JavaScript and TypeScript, including experience modeling complex state across synchronization protocols, agent loops, or similar systems.
  • Strong ability to write modular, maintainable, and reusable code.
  • Hands-on experience building AI agent harnesses, including tool calling, context management, agent loops, and structured outputs.
  • Experience developing evaluation systems and test infrastructure for non-deterministic AI or other complex systems.
  • Experience creating and managing reusable npm modules.
  • Strong testing and debugging skills, with a focus on reliability and production quality.
  • Strong understanding of and practical experience developing and using AI tools.
  • Deep interest or professional experience with peer-to-peer technologies, networking, or distributed systems.
  • Experience designing resilient systems that account for network failures, model errors, timeouts, retries, and other failure scenarios.
  • Contributions to open-source projects related to P2P, networking, AI tooling, or adjacent technologies are valued.
  • Strong communication skills and the ability to work effectively in a remote, globally distributed environment.
  • A highly experimental, hands-on mindset with a willingness to continuously test ideas, explore emerging technologies, and solve challenging technical problems.

  Benefits

  • Fully remote work environment.
  • Opportunity to work on emerging AI, agent infrastructure, and peer-to-peer technologies.
  • Exposure to complex distributed systems and non-deterministic AI applications.
  • Opportunity to contribute to open-source P2P, networking, and AI tooling ecosystems.
  • International and globally distributed engineering environment.
  • High degree of autonomy and room for experimentation and technical innovation.