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Backend engineer at a GenAI startup building scalable Go/Python systems for AI-powered avatar and video generation, serving millions of creators.
Build and maintain LLM servers (Llama, Mistral, GPT API) and deploy AI agents that automate tasks like reminders, reports, and paperwork using vector databases and RAG pipelines.
Build and optimize real-time streaming systems for AI-powered computer vision products like anomaly detection and human pose estimation using C++/Python and NVIDIA stacks.
Build and maintain the infrastructure and tooling that keeps thousands of GPU servers running smoothly for an AI media platform, including provisioning, health monitoring, and automated recovery.
Build and scale a full-stack Next.js app tracking open-source AI accelerator ecosystems (CUDA/ROCm/Trainium/TPU), integrating GitHub APIs and benchmarking data.
Build and maintain sovereign, self-hosted AI infrastructure on Italian national clouds, deploying Kubernetes clusters and MLOps toolchains while ensuring GDPR/AGID compliance.
Build and deploy computer-vision models that detect liveness spoofs and deepfakes to secure VIDA’s identity-verification pipeline using PyTorch and OpenCV.
Staff engineer plans, deploys, and validates large-scale GPU clusters for AI workloads, advising on Supermicro’s liquid- and air-cooled data-center solutions and integrating BMS monitoring.
DevOps Engineer to design, deploy, and maintain AI infrastructure using Kubernetes, Docker, and LLMOps tools like Ollama and LangChain, ensuring scalable, secure systems for logistics and industrial clients.
DevOps Engineer building and scaling AI infrastructure (LLMOps) with Kubernetes, Docker, and NVIDIA CUDA on Linux, automating deployments and integrating Python/Java services.
Чем предстоит заниматься Проектирование и аудит инфраструктуры: Провести технический аудит существующего HPC-пилота и разрозненных вычислительных серверов. Описать текущую архитектуру, конфигурации, технический долг и…
Build and optimize Meta’s AI systems by applying deep expertise in ML infrastructure and hardware acceleration to enhance product experiences.
Designs and implements edge AI pipelines using NVIDIA CUDA for real-time video analytics and telemetry in production environments.
Maintain and automate a globally deployed Kubernetes-based system on Ubuntu, handling incidents, building observability, and reducing on-site interventions.
Develops and optimizes computer vision algorithms into production-ready code for embedded systems, focusing on performance and hardware constraints using C++ and Python.
Builds low-level system software to optimize distributed AI training and inference across thousands of GPUs using C++, Python, and CUDA.
Develop high-performance quantum software, benchmarking tools, and optimizations for PennyLane & Catalyst using C++ and Python to maximize quantum hardware efficiency.
Builds scalable cloud systems and distributed algorithms in Python and Rust to power AI-driven robotics automation for industrial processes.
Build and optimize production-grade face biometrics and identity-verification systems using deep learning and computer vision, focusing on liveness detection, anti-spoofing, and fraud prevention.
Build and deploy cutting-edge text-to-speech models, voice cloning, and audio generation systems using large-scale ML and transformer architectures.
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