Javascript Senior Software Engineer (AI Apps)

Join Tether and Shape the Future of Digital Finance

At Tether, we’re not just building products; we’re pioneering a global financial revolution. Our solutions enable seamless integration of reserve-backed tokens across blockchains, empowering businesses such as exchanges, wallets, payment processors, and ATMs. We leverage blockchain technology to allow instant, secure, and global digital token transactions at low cost. Transparency underpins our operations, fostering trust in every transaction.

Innovate with Tether

Tether Finance: Our product suite features the trusted stablecoin USDT, used by hundreds of millions worldwide, along with digital asset tokenization services.

And that’s just the beginning:

Tether Power: We promote sustainable growth by optimizing excess power for eco-friendly Bitcoin mining in geo-diverse facilities.

Tether Data: We advance AI and peer-to-peer tech with solutions like KEET, our flagship app for secure, private data sharing.

Tether Education: We democratize digital learning, empowering individuals in the digital and gig economies.

Tether Evolution: We push technological boundaries, merging innovation with human potential for a future of unprecedented possibilities.

Why Join Us?

Our global, remote team is passionate about fintech innovation. Join us to work alongside talented professionals, set new industry standards, and contribute to a pioneering platform. Excellent English communication skills and a drive to innovate are essential.

About the job:

As a Senior Software Developer, you will develop desktop and mobile AI applications using the new Tether SDK.

Responsibilities:

1. AI-Driven Desktop Integration: Develop backend services and APIs for AI-enhanced desktop apps supporting features like local inference and contextual awareness, especially for Electron or hybrid clients.
2. Platform-Aware API Design: Collaborate with desktop and React Native teams to create APIs that ensure responsiveness and cross-platform consistency, managing GPU/CPU workloads and request queuing for optimal AI on-device performance.

Requirements include experience with desktop app development (Electron, Tauri), React Native, performance optimization, security practices, and participation in complex platform development. Nice-to-have skills include knowledge of P2P technologies, C++, Swift, Kotlin, AI SDKs, real-time data streaming, and secure inter-process communication.