Quality Control Engineer

hace 20 horas


Barcelona, España DeepRec.ai A tiempo completo

Quality Control Engineer – AI & LLM Services Es esencial asegurarse de que cumple con los requisitos como solicitante para este puesto; por favor, lea atentamente la información a continuación. Barcelona | Hybrid | Fixed-term contract (to June 2026) Want to be on the front line of real-world AI quality, validating systems that power next-generation LLMs, chatbots, and AI services used globally? A fast-scaling European deep-tech company at the intersection of AI and advanced computing is hiring a Quality Control Engineer to ensure the reliability, performance, and robustness of cutting-edge AI products. This role is actively hiring with a fast, transparent interview process. Why this role stands out Work on AI technology that dramatically reduces model size and inference cost Direct impact on production LLM systems used by enterprise clients Join a Series-B-stage deep-tech company with strong international backing What you’ll do Own quality validation for AI & LLM-based applications (chatbots, RAG, APIs, data pipelines) Define acceptance criteria with engineers, product teams & clients Test scalability, latency, robustness & data integrity under real-world conditions Build and standardize QA frameworks across AI projects Design manual & automated test suites for ML/LLM workflows Ensure final deliveries meet both technical and functional excellence standards What you bring Master’s degree in CS, Data Science, Software Engineering (or related)2+ years in QA for software, ML or AI systems Understanding of AI/ML testing challenges (reproducibility, output validation, bias) Familiarity with Python, xsgfvud APIs & modern ML/LLM workflows Fluent English (Spanish or French a plus) What’s on offer Competitive salary Signing bonus and retention bonus Fixed-term contract ending June 2026 Hybrid working & flexible hours Relocation support (if needed) Equal pay guaranteed International, multicultural tech environment If you’re passionate about making AI trustworthy, scalable, and production-ready, this is a rare chance to do it at the cutting edge.



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