TL;DR

AI Inference Engineer (AI): Owning the inference backbone behind QVAC's local AI stack, focusing on the C++ systems layer for fast and reliable model execution on user hardware with an accent on engineering quality at runtime level, including startup behavior, memory pressure, and throughput/latency balance. Focus on low-level problem solving, clear technical ownership, and building infrastructure for private, on-device AI experiences.

Location: 100% remote Worldwide

Company

%hirify_global% is pioneering a global financial revolution with cutting-edge solutions that empower businesses to seamlessly integrate reserve-backed tokens across blockchains.

What you will do

Work on deploying machine learning models to edge devices using frameworks like llama.cpp, ggml, and ONNX.
Collaborate 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.
Port and enhance inference engines to run efficiently on edge devices.
Ensure the inference layer is stable, optimized, and ready for integration with the rest of the stack.

Requirements

Excellent programming skills in C++, experience in Javascript is a bonus.
Strong experience with Llama.cpp and ggml inference engines.
Good understanding of deep learning concepts and model architectures.
Experience with transformers, LLMs, and 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.

Culture & Benefits

Global talent powerhouse, working remotely from every corner of the world.
Opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards in the fintech space.