Ai Systems Engineer

Experteer Overview As LLM Inference Engineer, you optimize the deployment and performance of Generative AI systems at Airbus Defence and Space.You will join the Architecture u**amp; Integration team in Torrejón de Ardoz to ensure fast, accurate, multi-user AI services and lay groundwork for future training and fine-tuning of open models.You will squeeze maximum hardware potential (GPUs) to deliver low-latency responses in high-demand environments.The role blends applied AI with high-performance systems work, contributing to secure, scalable AI infrastructure.This is a mission-critical position with a clear impact on defense-grade AI capabilities.Compensaciones / Beneficios- Design and manage deployment of Large Language Models (LLMs) with optimized memory usage and latency- Architect and refine Retrieval-Augmented Generation (RAG) workflows from document ingestion to retrieval- Configure and optimize workload distribution across multiple GPUs for high concurrency- Implement evaluation methodologies to reduce hallucinations and improve response relevance- Develop data pipelines to transform documents (PDF, OCR, etc.) for AI learning and querying- Develop standardized and secure APIs to expose AI capabilities to other applications and platforms- Prepare infrastructure for future phases involving training, quantization, and model adaptationResponsabilidades- Solid experience (3+ years) in Machine Learning Engineering, NLP, or Applied AI- Degree in Computer, Telecomunications, Maths or Software Engineering- Hands-on experience in the deployment and productionization of Large Language Models (LLMs)- Advanced proficiency in Python- Proven experience building information retrieval architectures (RAG systems) and vector databases- Demonstrated ability to optimize computing resources (GPU/CPU/Memory) to enhance AI system performance- B2 level in EnglishRequisitos principales- Vacation days plus additional days-off- Hybrid model of working- Health insurance- Employee stock options- Retirement plan- On-site facilities

Solid experience (3+ years) in Machine Learning Engineering, NLP, or Applied AI

• Degree in Computer, Telecomunications, Maths or Software Engineering
• Hands-on experience in the deployment and productionization of Large Language Models (LLMs)
• Advanced proficiency in Python
• Proven experience building information retrieval architectures (RAG systems) and vector databases
• Demonstrated ability to optimize computing resources (GPU/CPU/Memory) to enhance AI system performance