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Senior AI Inference Engineer; Remote

Remote / Online - Candidates ideally in
Dubai, Dubai, UAE/Dubai
Listing for: tether
Remote/Work from Home position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 200000 - 300000 AED Yearly AED 200000.00 300000.00 YEAR
Job Description & How to Apply Below
Position: Senior AI Inference Engineer (100% Remote)

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.

But that’s just the beginning:

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 solutions like KEET
, our flagship app that redefines secure and private data sharing.

Tether

Education:

Democratizing access to top‑tier 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 in powerful, unprecedented ways.

Why Join Us?

Our team 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 role:

You will own the inference backbone behind QVAC's local AI stack: the C++ systems layer that makes models run fast, reliably, and predictably on real user hardware. The role is centered on engineering quality at runtime level, including startup behavior, memory pressure, throughput/latency balance, and long‑session stability. You will define and evolve the core abstractions that inference features depend on, so new capabilities can be added without sacrificing performance or maintainability.

This is a role for someone who enjoys low‑level problem solving, clear technical ownership, and building infrastructure that other teams trust in production. Your work directly enables private, on‑device AI experiences and helps set the technical foundation for QVAC's next generation of peer‑to‑peer AI products.

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
Qualifications
  • Excellent programming skills in C++; experience in JavaScript is a bonus
  • Strong experience with Llama.cpp and ggml inference engines, which facilitates the deployment of models to specific GPU architectures
  • Good understanding of deep learning concepts and model architectures
  • Experience with transformers, LLMs, diffusion models
  • Demonstrated ability to rapidly assimilate new technologies and techniques
  • A degree in Computer Science, AI, Machine Learning, or a related field, complemented by a solid track record in AI R&D
Bonus points if:
  • You have experience with JavaScript/Type Script
  • You understand the difficulties, nuances and importance of p2p technology
  • You have experience with any of Vulkan, Metal and OpenCL
  • You have productionized models
Important information for…
Position Requirements
10+ Years work experience
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