Jobs at Tether.io

Lead engineering teams building QV.AC, a privacy-preserving, on-device AI assistant. Own technical design, app-to-AI APIs, engineering quality, performance, reliability, and delivery. Partner with product managers to scope features, assess local AI capabilities, and validate ideas through prototypes. Mentor team leads, coordinate with AI research teams, and establish clear goals and operating standards for consumer product development.

Lead API and frontend engineering teams building Keet, a peer-to-peer messaging and video calling app. Own technical design, API boundaries, engineering quality, reliability, and performance while partnering with product managers on roadmap and scope. Mentor team leads, establish operating clarity, unblock delivery, and contribute hands-on when needed. Requires strong JavaScript and React expertise, consumer product engineering leadership, product judgment, and familiarity with distributed, offline-first, and eventually consistent systems.

Own assigned AI product features for QV.AC, a local and privacy-preserving AI assistant. Responsibilities include identifying user problems and use cases, defining requirements, creating prototypes, evaluating technical trade-offs, supporting prioritization, coordinating delivery, reviewing releases, and monitoring AI developments. The role partners closely with product, engineering, and design teams to ship usable AI experiences across devices while considering quality, latency, memory, battery consumption, and privacy.

Own the architecture, implementation, and delivery of a GPU infrastructure platform spanning bare-metal Slurm, Kubernetes, managed inference, observability, and multi-tenant isolation. Lead and line-manage a distributed engineering team, operate GPU and HPC infrastructure, manage vendors and infrastructure partners, establish reliability practices, support internal research and product teams, and complete team hiring. The role is hands-on and requires deep expertise in Linux, Kubernetes, GPUs, networking, storage, and platform operations.

As a Research Engineer Intern, you'll develop state-of-the-art LLM and multimodality models, optimize distributed training frameworks, and collaborate on the application of large models in business scenarios.