AI Inference Engineer QVAC

Remote•Remote

Full-timeRemoteremotejobsorg

Programmingremotejobs.orgbenefits

About this role

AI pioneers who build systems that actually work in the real world, not just in demos. We're 250+ people spread across the US and Europe, creating solutions for companies like Procter & Gamble and Shutterstock. We keep it simple, build it right, and focus on what works. ## The People We're the kind of people who don't ignore messages in Slack, who jump in to help when you're stuck on a problem, and who offer solutions instead of blame when things go sideways. We believe in openness, accountability, and having each other's backs. No office politics, no hidden agendas - just people who care about doing good work together and supporting each other to get there. ## The Role We are looking for a strong C++ Engineer with hands-on experience deploying and optimizing modern AI models for production. The ideal candidate combines deep systems programming expertise with practical experience working with LLMs and modern deep learning architectures. Rather than building or training models from scratch, this engineer focuses on integrating, evaluating, profiling, and optimizing AI inference pipelines for high-performance on-device execution.

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 Core Software Engineering
4+ years of professional experience in Modern C++ (C++17/20)
Strong knowledge of memory management, multithreading, profiling and performance optimization
Experience debugging low-level issues (memory leaks, fragmentation, OOM, concurrency)
Experience working with Linux development environments AI Inference / ML Systems
Experience integrating machine learning models into production applications
Experience deploying and optimizing AI inference pipelines
Hands-on experience with AI inference frameworks such as: llama.cpp (strong plus), ggml (strong plus), ONNX Runtime, TensorRT / TensorRT-LLM, OpenVINO, MLC LLM, ExecuTorch, TVM
Experience profiling inference performance and optimizing memory usage and latency Deep Learning Knowledge Strong understanding of modern AI model architectures, including:
Transformer architecture
Large Language Models (LLMs)
Diffusion Models
Tokenization
Attention mechanisms
KV Cache
Quantization techniques
Model conversion and deployment Practical AI Experience

Remote

Yes

Employment type

Full-time

Workplace type

Remote

Source

remotejobsorg

First seen

10/1/2026, 8:10:28 AM

Last seen

10/1/2026, 8:10:28 AM