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Lead AI Inference Engineer

Job in 6900, Lugano, Ticino, Switzerland
Listing for: Tether Operations Limited
Full Time position
Listed on 2026-02-01
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 80000 - 100000 CHF Yearly CHF 80000.00 100000.00 YEAR
Job Description & How to Apply Below

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 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. Transparency is the bedrock of everything we do, ensuring trust in every transaction.

Innovate with Tether

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.

Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco‑friendly practices in state‑of‑the‑art, geo‑diverse facilities.

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.

Why Join Us?

Our टोली is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.

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.

Are you ready to be part of the future?

About the job

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.

Responsibilities
  • Work on deploying machine learning models to edge devices using the frameworks: llama.cpp, ggml, onnx

  • 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

  • Regularly assess, both qualitatively and quantitatively, our position in the market relative to similar products or platforms

  • Leverage the expertise of technical architects to ensure robust architectural choices and code quality

  • Ensure stable releases by following precise internal release processes

Qualifications
  • Excellent programming skills in C++

  • Strong experience with llama.cpp and ggml inference engines, facilitating the deployment of models to specific GPU architectures

  • Good understanding of deep learning concepts and model architectures

  • Experience with transformers and LLMs

  • Demonstrated ability to 行 rapidly assimilate new technologies and techniques

  • Has the ability to manage a small, specialized cross‑functional team (pod) of 3‑5 people

  • Has a genuine passion for building good products that improve people's lives

  • A degree in Computer Science, AI, Machine Learning, or a related field, complemented by a solid track…

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