AI Harness Engineer at Tether
Confirmed open
Build local-AI agent harnesses, reusable modules and peer-to-peer integrations for Tether’s QVAC project.
- Location
- Remote — Denmark / Sweden / Austria
- Employment
- fulltime_permanent
- Work arrangement
- remote
- Technologies
- JavaScript, TypeScript
Role overview
The QVAC team develops ways for people to use local AI through peer-to-peer technology. This role builds the software harness around models, including tools, loops and integrations, while maintaining reliable user-facing behaviour. The source lists remote work in Denmark, Sweden or Austria.
Responsibilities
- Develop modules and tools that connect local AI models to user workflows.
- Implement peer-to-peer components for local AI and extend model capabilities.
- Deliver features and fixes with attention to performance and reliability.
- Maintain code quality through tests, reviews and debugging.
Qualifications
- At least five years building production software, with deep P2P or AI/LLM tooling experience.
- Agent-harness work involving tool calls, agent loops, context and structured output.
- Evaluation and testing of nondeterministic systems, strong JavaScript/TypeScript and complex-state modelling.
- Understanding of network failures, model errors, timeouts and retries; relevant open-source contributions and remote communication.
About Tether
Tether develops digital-token products, including USDT, alongside projects in peer-to-peer communications and AI. The employer describes a globally distributed remote team.
How to apply
Review the original posting and apply through the employer’s careers page.
View source and applyApply directlySource checked: 2026-09-29
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