AI Inference Engineer QVAC

Role Description

You'll work on the C++ layer that powers local AI, porting and enhancing inference engines like llama.cpp or similar, to run efficiently on edge devices. Your focus is on the runtime: making models load faster, run leaner, and perform well across different hardware. You'll ensure that the inference layer is stable, optimized, and ready for integration with the rest of the stack. This role is for engineers who want to work close to the metal, enabling private and fast on-device AI without relying on cloud infrastructure.

Responsibilities

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

Benefits

• Remote flexibility: Work where and how you work best - we trust you to deliver
• Fair compensation: Competitive salary + benefits that matter (medical, learning)
• Ownership opportunities: See a problem worth solving? Own it. We back smart risks over bureaucratic safety
• AI enhancement: We leverage AI to make you faster and stronger - complementing your abilities, not replacing them
• Learning investment: English classes, professional development
• Career progression: Real paths up, not just sideways shuffling
• Responsive teammates: No ignored Slacks, no "not my problem" attitudes
• Supportive culture: When you're stuck, people help. When things break, we fix them together
• Human connections: Regular meetups, tech talks, and actual relationships beyond work