AI Harness Engineer at Tether

Confirmed open

Build local-AI agent harnesses, reusable modules and peer-to-peer integrations for Tether’s QVAC project.

Tether

Location: Remote
Employment: fulltime_permanent
Work arrangement: remote
Technologies: JavaScript, TypeScript

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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.

Technology in this role

JavaScript: Evaluation and testing of nondeterministic systems, strong JavaScript/TypeScript and complex-state .
TypeScript: Evaluation and testing of nondeterministic systems, strong JavaScript/TypeScript and complex-state .
LLM: At least five years building production software, with deep P2P or AI/LLM tooling .

Role-specific candidate guide

Preparation notes based on the employer’s stated responsibilities and qualifications.

Understanding the scope. This AI Harness Engineer (100% Remote, Worldwide) position at Tether is best assessed through the work described in the employer’s posting, rather than the title alone. The available role overview says: “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…” Read that statement together with the responsibilities below to understand the likely balance between delivery, coordination and technical decision-making. The role belongs to the AI and data area, but that label is only a guide to the work; the employer’s own requirements remain decisive. Before applying, check the original listing for reporting lines, product or team assignment, employment terms and any details that may have changed since this copy was checked. Where this page says a fact is not specified, treat it as an open question rather than an implied promise.

What the responsibilities signal. The posting specifically names “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.”. For each duty, identify a project where you performed comparable work and be ready to describe the context, your own contribution, constraints, decisions, and measurable result. Explain how you moved from the initial need to implementation, review, release or operational follow-through, where those stages apply. If the work involved other teams or users, distinguish your decisions from the group’s contribution. Avoid presenting a technology keyword as proof by itself: connect it to the problem you solved, the scale or complexity involved, and what changed after your work. The source may contain additional duties; review it directly before preparing your application.

How to read the requirements. The listed qualifications include “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.”. Mark each requirement as demonstrated, adjacent experience or a genuine gap, then use a concise example for the first two categories. A strong example explains what you personally owned, how you made trade-offs, how you validated the result and what you learned. If the posting specifies years of experience, language ability, certifications, location or eligibility, address those facts plainly in your CV or application rather than relying on the employer to infer them. Do not claim a qualification from exposure alone. For a requirement you do not meet, describe relevant transferable experience accurately and ask the recruiter whether it is mandatory.

Technology and working evidence. The technology terms associated with this listing are JavaScript, TypeScript. Treat this as a set of posting-derived signals, not a guarantee that every tool is used daily or that the list is complete. For each term relevant to your experience, prepare one concrete example: the system or workflow, the part you owned, the alternatives considered, and how you tested reliability, security, performance or usability as appropriate. If you have not used a named tool, explain the closest related system you have worked with and how you would ramp up; do not relabel that experience as direct production use. If the source describes technologies beyond this list, prioritize its exact wording.

Evidence to put in the application. Tailor the first half of your CV to the named work instead of using a generic summary. Lead with two or three outcomes that match the responsibilities, and include enough context to show complexity, scope and your role. Add technical detail where it substantiates an outcome: architecture, interfaces, data or traffic scale, test strategy, deployment approach, incident response or collaboration, as relevant to your real projects. Keep confidential employer information private; describe the problem and your contribution without disclosing protected data. If the.

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.

Employer website

How to apply

Review the original posting and apply through the employer’s careers page.

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Source checked: 2026-10-14