82 AI Engineer jobs in Spain available for remote work from home. Apply for positions such as AI Engineer, AI Engineer, AI Engineer and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
Trusted by 200,000+ remote workers worldwide.
Design and develop AI services using Python, implementing agents and workflows with orchestration frameworks. Ensure high-quality, structured outputs and maintain audit-ready prompts while collaborating with business areas to validate results.
Develop and deploy AI projects focused on 3D design, ranging from conceptualization to implementation. Create automated models, monitor model performance, and manage deployment pipelines within the Azure ecosystem.
The AI Engineer will design and implement Generative AI solutions, including intelligent agents and APIs. They will also manage data pipelines and deploy scalable solutions within a cloud environment using clean architecture principles.
Design and build data pipelines and infrastructure to transform raw data into high-signal training sets for AI agents. Develop and optimize ML systems focusing on retrieval, ranking, and structured extraction to improve agent behavior and reliability.
You will be responsible for building integrations, automations, and data pipelines to connect marketing, sales, and AI systems. You will also develop internal tools and AI-driven solutions to improve lead management and business operations.
We watch for new "AI Engineer" jobs and email you the matches. Free. Unsubscribe in one click.
You will develop Generative AI capabilities and specialized agents to analyze large code repositories and legacy enterprise systems. This involves taking AI solutions from prototype to production-ready, maintainable, and observable components.
You will have full end-to-end technical ownership of the vision core for an industrial visual inspection product on the NVIDIA platform. You will also design and lead the evolution of the pipeline orchestration toward a high-performance native C++ core to deliver real-time decisions.
You will design and implement AI-powered features and workflows for CLion, focusing on integrating coding agents into the C++ development environment. The role involves collaborating with cross-functional teams to define the technical roadmap and architecture for AI-assisted software development.
Design, develop, and implement robust AI solutions based on LLMs and agentic systems. Collaborate with the Data & Analytics team to build scalable applications for national and international clients.
You will design, build, and operate scalable AI systems, including generative AI applications and RAG workflows, to enhance product capabilities. Additionally, you will establish technical standards for AI development, evaluation, and deployment while collaborating across cross-functional teams.
Translate business needs into innovative technological solutions using Generative AI. Manage tasks autonomously while collaborating within high-impact, agile project teams.
Design, build, and operate production-grade AI systems that solve real business problems across the company. Partner with cross-functional teams to integrate AI capabilities into workflows like onboarding, customer support, and fraud detection.
Lead a team of AI engineers to design, build, and deploy production-grade AI services including LLMs, RAG, and agentic workflows. Own the end-to-end technical architecture, evaluation standards, and roadmap alignment with business stakeholders.
Design and develop Generative AI solutions using Amazon Bedrock and AWS cloud services to transition initiatives from experimentation to production. Collaborate with multidisciplinary teams to build scalable, secure, and maintainable enterprise AI architectures.
You will lead the architecture and development of production-grade AI agents and intelligence products to optimize payment processes. This involves setting technical direction for agentic systems, ensuring reliability, and mentoring engineers to deliver complex cross-team AI projects.
Design, develop, and optimize accelerated data processing software libraries for GPU and CPU architectures. Collaborate with internal and external partners to define technical roadmaps and provide leadership to library engineering teams.
You will build end-to-end applications and work on projects involving AI, agents, and reinforcement learning systems. The role requires designing and deploying complete applications while maintaining high standards for performance and architecture.
We watch for new "AI Engineer" jobs and email you the matches. Free. Unsubscribe in one click.
You will be responsible for the end-to-end design, development, and deployment of full-stack applications and AI-powered systems. This role involves collaborating with research teams to build scalable infrastructure and maintaining high code quality standards.
Design and develop GenAI capabilities, including RAG architectures, agent workflows, and semantic search systems. Collaborate with cross-functional teams to integrate AI models into business applications while ensuring performance, security, and scalability.
Design, develop, and implement scalable Generative AI solutions using Python and LLMs. Manage cloud infrastructure as code and integrate AI components into productive environments.
You will design and deploy agent-based AI systems by integrating language models with internal and external tools to solve complex business problems. You will take end-to-end ownership of the AI lifecycle, from discovery and prototyping to production monitoring, evaluation, and scaling.
You will design, build, and optimize agentic AI systems to automate complex procurement workflows. Your work will involve integrating and fine-tuning LLMs to drive intelligent decision-making across the platform.
Collaborate on the design and implementation of innovative AI-based solutions to meet project requirements. Optimize existing machine learning models for performance and scalability while contributing to technical documentation.
Develop and optimize ML models from scratch while collaborating with cross-functional teams to deploy them into production. Establish experimentation roadmaps and maintain reproducible pipelines to ensure optimal model performance.
Design and implement AI/ML solutions and Agentic AI architectures using Vertex AI and Gemini Enterprise on GCP. Manage data platforms, automate infrastructure with Terraform, and maintain MLOps pipelines in Kubernetes environments.
We watch for new "AI Engineer" jobs and email you the matches. Free. Unsubscribe in one click.
Own and drive the quality, reliability, and evolution of production AI systems, including the delivery of major AI features. Design and orchestrate agentic, tool-using AI workflows and manage prompt engineering and experimentation pipelines.
Design, train, and validate machine learning and deep learning models for clustering, classification, and anomaly detection. Integrate these models into production pipelines and collaborate on cloud-based proofs of concept and technical documentation.
Design and develop AI-powered features and agentic workflows to help users analyze large datasets. Take ownership of the full development lifecycle from rapid prototyping to shipping scalable production-grade solutions.
Develop and modernize applications using Artificial Intelligence and implement intelligent automations. Design and manage agent-based workflows while collaborating with multidisciplinary teams to integrate AI into business processes.
Stop the endless job search. Our AI finds and applies to the best jobs for you.
Everything you need to know about remote work
