AI Systems Engineer - LLM Execution

• Integrate with LLM catalogs and registries (e.g., HuggingFace, NVIDIA NIM, internal repositories). * Collaborate with product and platform teams to shape a modular, portable AI Factory execution layer. * Interact with users to provide systems support, architecture definitions, recommendations, implementation, testing, training, and deployment of open source solutions. * Troubleshoot incidents, identify root causes, implement fixes, and document preventive measures. * Deliver quality performance indicators and maintain project documentation (journals, status reports, etc.). * Engage with international cloud-edge ecosystems and participate in open-source communities; willingness to travel occasionally. * Write and maintain software documentation and project reports. Qualifications * Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. * Strong hands-on experience deploying and optimizing LLMs in production environments. * Experience with inference frameworks such as vLLM, TensorRT, Triton Inference Server, DeepSpeed-Inference, etc. * Hands-on experience with orchestration tools like Ray, NVIDIA NeMo/Dynamo, or KServe. * Experience deploying LLM workloads on hybrid or sovereign cloud environments. * Contributions to open-source LLM or inference projects. * Deep knowledge of multi-GPU systems and GPU memory management. * Solid understanding of distributed systems and networking bottlenecks in model serving. * Programming experience in Python; knowledge of CUDA and model quantization is a plus. * Familiarity with LLM catalogs (e.g., HuggingFace, NGC, NIM) and open-source MLOps or AI workload orchestration platforms. * Professional English fluency with strong writing and speaking clarity. Soft Skills & Collaboration * Strong customer service mindset with a focus on responsiveness and user satisfaction. * Clear communication and documentation with strong written and verbal English, asynchronous

collaboration, * Excellent problem-solving and proactive issue resolution. * Self-management, accountability, and ability to work independently and meet deadlines. * Technical autonomy with Git, CI/CD, remote collaboration tools (Slack, Zoom, GitHub), and problem-solving without direct supervision. What's in it for me? * Competitive compensation and flexible remuneration options (meals, transport, childcare). * Customized workstation (macOS, Windows, Linux). * Private health insurance. * 6-hour Fridays and August work rhythm. * Paid time off: holidays, personal time, sick time, parental leave. * All-remote company with HQ in Madrid and offices in Boston and Brno. * Healthy work-life balance and support for digital disconnecting. * Flexible hiring options: full-time or part-time; employee (Spain/USA) or contractor (other locations). * Engineering-first culture with openness, collaboration, risk-taking, and continuous growth. * Exposure to a broad technology ecosystem with opportunities to learn and research new technologies. Seniority level * Mid-Senior level Employment type * Full-time Job function * Information Technology Industries * Software Development #J-18808-Ljbffr