AI Lead Engineer

Join Tether and Shape the Future of Digital Finance
Our cutting‑edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve‑backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
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Tether Data: Fueling breakthroughs in AI and peer‑to‑peer technology, we reduce infrastructure costs and enhance global communications with cutting‑edge مسؤ솔 like KEET , our flagship app that redefines secure and private data sharing.
Tether Education: Democratizing access to high‑quality digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge into powerful, unprecedented ways.
Our टोली is a global talent powerhouse, working remotely from every corner of the world. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
You’ll lead a cross‑functional pod that spans the full stack, from C++ inference engines to JavaScript applications. Your responsibility is to ensure that local AI capabilities ship reliably and perform well across devices. You’ll balance hands‑on technical work with team coordination, guiding foundation and middleware engineers toward shared goals.
This role is ideal for someone who understands both the low‑level challenges of edge AI and the product‑facing needs of app developers, and wants to drive the delivery of cohesive, production‑ready local AI systems.
Work on deploying machine learning models to edge devices using the frameworks: llama.Collaborate closely with researchers to assist in coding, training and transitioning models from research to production environments
Integrate AI features into existing products, enriching them with the latest advancements in machine learning
Manage a cross‑functional team (pod) of middleware (JS), foundation (C++), QA and documentation engineers to produce high‑quality deliverables
Leverage the expertise of technical architects to ensure robust architectural choices and code quality
Excellent programming skills in C++
cpp and ggml inference engines, facilitating the deployment of models to specific GPU architectures
A degree in Computer Science, AI, Machine Learning, or a related field, complemented by a solid track record in AI khut R&D
You have extensive experience with JavaScript/TypeScript
You have experience with AWS, containerization platforms, orchestration, and automated testing suites (Maestro, Appium)
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