Role overview

AI Inference Engineer QVAC

Requirements and responsibilities

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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

Requirements

  • 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

First, the foundation:

  • Remote flexibility: Work where and how you work best - we trust you to deliver
  • Fair compensation: Competitive salary + benefits that matter (medical, learning)

Then, the growth:

  • 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

Finally, the people:

  • 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
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Browse stack
FocusAI EngineeringRole area
Seniority signalSeniorCandidate level
StackJavaScript, RESTPrimary skills
Location38 accepted countriesEligibility

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