PstrongAI Systems Engineer | LLMs Generative AI | €55k-€75k p/a | Fixed term contract until June 2026 | Quantum Computing and Software | Zaragoza | Hybrid WFH | Visa sponsored | Machine Learning Data Science /strong /ppbr/ppstrongWorking arrangements: /strong Hybrid home working, 3 days a week in office, 2 days a week WFH /ppstrongContract: /strongFixed term short contract only until project end in June 2026 /ppstrongLocation: /strongZaragoza, Spain /ppstrongVisa Sponsorship: /strongYes, available /ppbr/ppWe are a specialist recruiter working with an expanding engineering team hiring skilled professionals who want to work at the intersection of artificial intelligence, real-world system deployment and high-performance operational engineering. /ppbr/ppYou will join a rapidly growing deep-tech company building advanced AI solutions for industrial and enterprise clients across Europe and beyond. /ppbr/ppThese roles sit within the group responsible for ensuring that AI models, software components and edge devices operate reliably, efficiently and at scale. /ppbr/ppDepending on your background, you may work on model integration, cloud or edge deployment, validation workflows, system optimisation, customer support, automated pipelines, or platform reliability. /ppbr/ppYou will be hands-on across engineering activities such as system integration, debugging, testing, pipeline maintenance, deployment processes, performance tuning and continuous improvement of AI-driven systems in production environments. /ppbr/ppstrongKey responsibilities across these roles include: /strong /ppbr/pulliDeploying AI and machine-learning models into production (edge devices or cloud environments). /liliMaintaining and improving pipelines for data processing, training, inference and ongoing model updates. /liliInvestigating and resolving system behaviour issues, performance bottlenecks and integration challenges. /liliRunning validation and quality-assurance workflows to ensure models and systems meet reliability standards. /liliSupporting internal and external users with technical troubleshooting and operational guidance. /liliImplementing automation, observability and documentation to strengthen delivery workflows. /liliEnsuring consistent performance across distributed systems, GPUs, embedded devices and cloud services. /liliCollaborating closely with AI engineers, backend teams, testing teams and product stakeholders to support smooth deployments. /li /ulpbr/ppstrongWe welcome applications from people with experience in: /strong /ppbr/pulliSoftware engineering or backend development /liliMachine learning engineering or model deployment /liliData Science /liliLLM Engineering /liliRAG Systems /liliGenerative AI /liliData and pipeline engineering /liliCloud engineering (AWS, Azure, or similar) /liliEdge or embedded systems /liliQA, validation, testing or technical support /liliDistributed systems and high-performance computing /liliPython and/or Linux-based development, containerisation or automation tools /li /ulpbr/ppIf you are someone who enjoys solving complex technical challenges, ensuring operational reliability and being close to real AI systems used in production, this is an excellent opportunity to grow and make an impact. /ppbr/ppWe are looking for engineers who are curious, hands-on, comfortable with problem-solving, and motivated by deploying advanced AI technologies into real-world environments. /ppIf this sounds like you, we’d love to hear from you. /p