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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Senior Engineer - **Company:** NTT DATA - **Location:** Valencia, Spain - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Cloud Engineering, Code Review, Continuous Integration, High-Level Architecture, Python (Programming Language), Machine Learning, Software Product Management, Tensorflow, Software Engineering, Google Cloud, Pytorch, Large Language Models, Multi-Agent Systems, Generative AI, Containerization, AI Platforms, Information Technology, HuggingFace, Data Analytics, Machine Learning Operations, Software Version Control - **Published:** September 5, 2026 - **Apply:** https://www.recruit.net/job/ai-senior-engineer-jobs/DDD585D7D67E3297 ## About the Role * Solid understanding of AI foundations, including both classical machine learning and generative AI. * Proven experience building GenAI solutions, such as retrieval-augmented generation (RAG), autonomous agents, and evaluation frameworks. * Proficient in Python and popular AI libraries (e.g., PyTorch, TensorFlow, LangChain, HuggingFace). * Hands-on experience working with cloud platforms (Azure, AWS, or GCP) and deploying AI services in production. * Strong software engineering practices (version control, CI/CD, testing, containerization). * Must be located in or willing to relocate to Spain. We will positively value: * Master's degree in Computer Science, Engineering, Data Science, or related field. * Experience with MLOps tools and practices. * Experience in Agile/Scrum environments and collaborating with remote teams. * Excellent command of English (C1-C2 level). * Background in consulting or client-facing AI delivery projects. ## Description We are seeking a Senior AI Engineer to join our AI & Analytics team in Spain. This role is ideal for an experienced engineer who is passionate about designing and deploying AI-driven solutions, with a strong foundation in machine learning, generative AI, and cloud computing. You will work with a multidisciplinary team to develop intelligent systems for clients across industries, contributing to end-to-end AI product development, from ideation to deployment and evaluation. We are looking for a professional who brings his knowledge and experience in artificial intelligence focused on: * Defining and implementing technical solutions related to AI Platform framework/methodology. * Building AI Platforms aligned with the logical version defined in high-level architecture designs. Being a cloud-native, hybrid or on-premises environment. * Building CI/CD pipelines to orchestrate the MLOps life cycle aligned with client objectives and architecture requisites. * Contribute to the standardization of methodologies for development, training, deploying, inference and monitor of AI use cases. * Facing challenges related to MLOps practices, provide resources and tools for Data Scientist, give them flexibility for model development and robust methodology to allow its productivization, train models in an unattended way, monitorize the model performance and generate retrain alarms. What will you be accountable for? Your responsibilities around our artificial intelligence services will be focused on the following fields of action: * Design, build, and deploy machine learning and GenAI solutions, including RAG architectures, autonomous agents, and evaluation pipelines. * Lead the development of AI-based products and services, ensuring scalability, robustness, and maintainability. * Collaborate with data scientists, engineers, and business stakeholders to translate requirements into technical solutions. * Develop and maintain reusable AI components and best practices for GenAI systems. * Integrate models into production environments using cloud platforms such as Azure, AWS, or Google Cloud. * Stay current with advancements in AI and proactively propose innovations. * Contribute to code reviews, documentation, and mentoring junior team members. ## Related Videos - [Should we build Generative AI into our existing software?](https://www.wearedevelopers.com/videos/1129-should-we-build-generative-ai-into-our-existing-software) - [Are Code Reviews Worth It? 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Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [The State of GenAI & Machine Learning in 2025](https://www.wearedevelopers.com/videos/1383-the-state-of-genai-machine-learning-in-2025) - [Build a CI/CD pipeline to automate code reviews and ensure code quality](https://www.wearedevelopers.com/videos/349-build-a-ci-cd-pipeline-to-automate-code-reviews-and-ensure-code-quality) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)