AI Engineer

• Design, build, and maintain production-ready AI solutions using modern LLM and agentic AI technologies
• Develop AI workflows, orchestration layers, RAG pipelines, and AI automation capabilities
• Build scalable AI services, APIs, and integrations using Python and modern backend engineering practices
• Prototype, iterate, and productionize AI capabilities
• Implement prompt engineering, context management, tool usage, and structured AI output strategies
• Develop evaluation, validation, testing, monitoring, and feedback mechanisms for AI reliability and quality
• Contribute to AI governance, observability, security, and operational best practices
• Collaborate with Architects on platform architecture and engineering standards
• Translate business needs into practical AI solutions with Product Managers and stakeholders
• Provide technical leadership, mentoring, and guidance to the AI Engineering team
• Support technical execution alignment, implementation quality, and engineering best practices
• Participate in technical interviews, hiring, and growth of the AI Engineering capability
• Stay current with emerging AI technologies, tooling, and enterprise AI engineering practices

AI Engineering Lead

• Design and implement scalable ML solutions independently
• Build and fine-tune classification and attribution systems for complex data, including ad creatives and global brand deduplication
• Implement Chain of Thought prompting and multi-agent workflows
• Optimize vectorization and manage database migrations with Alembic
• Ensure high-throughput data ingestion with minimal supervision
• Implement guardrails and Langfuse observability for explainable and robust AI output
• Use AI coding assistants and LLMs to increase development productivity

• Build, deploy, and operate AI-driven solutions in production
• Develop solutions using Generative AI and large language models
• Share work early and often through documentation, demos, and incremental pull requests
• Own deliverables following team architecture and workflows
• Communicate decisions, assumptions, and trade-offs clearly to the team
• Seek alignment when decisions impact others
• Experiment, validate quickly, and iterate based on stakeholder and team feedback
• Suggest practical improvements grounded in problem-solving
• Balance exploration with delivery and avoid early over-engineering
• Optimize for Analytics and Trading adoption, clarity, and trust
• Deliver usable value early through sensible trade-offs
• Adapt communication, scope, and technical direction as teams and projects scale
• Operationalize ML and LLM-based systems
• Manage model lifecycles, pipelines, evaluations, deployments, monitoring, observability, reliability, and safety
• Collaborate with teams in an iterative delivery environment

Senior AI Engineer

• Design, develop and maintain production AI solutions, including LLM-based applications, retrieval-augmented generation (RAG) pipelines, agentic workflows and ML model services
• Take models and prototypes from applied scientists and turn them into robust, low-latency, cost-efficient services that scale to global traffic
• Define and automate evaluation frameworks, benchmarks and guardrails measuring accuracy, safety, latency and cost
• Monitor models once they are in production
• Build and optimize data pipelines for training, fine-tuning, embedding and inference
• Ensure data is high quality, traceable and handled in line with privacy requirements
• Implement CI/CD for ML, model versioning, experiment tracking and observability on cloud platforms
• Collaborate with product, engineering and science stakeholders to understand requirements, weigh trade-offs and deliver AI solutions meeting customer needs
• Evaluate new models, tools and techniques and share learnings with the wider engineering community

• Liderar el diseño, desarrollo e implementación de soluciones basadas en Inteligencia Artificial Generativa y Machine Learning
• Impulsar la automatización y optimización de procesos internos mediante soluciones de IA
• Diseñar, desarrollar y desplegar productos, servicios y aceleradores tecnológicos para clientes B2B
• Analizar procesos internos y detectar oportunidades de automatización en PMO, Business, Administración y Finanzas, People y otras áreas corporativas
• Optimizar procesos de reporting, seguimiento de proyectos y gestión de información
• Diseñar e implantar asistentes inteligentes, sistemas de búsqueda avanzada y bases de conocimiento corporativas basadas en arquitecturas RAG
• Crear agentes especializados y flujos de automatización integrando herramientas y fuentes de información
• Garantizar buenas prácticas de gobernanza, seguridad, control de acceso y protección de la información corporativa
• Participar en descubrimiento, validación funcional y definición técnica de nuevas oportunidades
• Construir MVPs y pruebas de concepto
• Evolucionar herramientas existentes basadas en IA, incluyendo soluciones relacionadas con proyectos GxP
• Definir estándares técnicos, arquitecturas de referencia y buenas prácticas de escalabilidad, calidad y mantenibilidad
• Implementar monitorización, evaluación y observabilidad para soluciones basadas en LLMs

• Support development of AI-driven features by implementing technical requirements under guidance
• Build and maintain Python-based applications and APIs using FastAPI or Flask
• Collaborate with senior engineers and product teams to implement user-facing features
• Assist with integrating LLM APIs, including Gemini and GPT, for audience insights and content generation
• Help connect external advertising APIs such as Meta, Google Ads, TikTok, and Amazon Ads
• Learn and apply prompt engineering techniques to improve AI outputs
• Deploy services to Google Cloud Run with support from senior team members
• Participate in CI/CD processes and learn deployment best practices
• Monitor application performance and troubleshoot issues
• Work with product managers, designers, and data scientists
• Participate in code reviews and learn from senior engineers
• Document work and communicate progress effectively

Junior Product Engineer – AI

• Analizar MCP Servers internos y de terceros, comprendiendo su arquitectura, modelo de despliegue, autenticación y dependencias
• Diseñar arquitecturas de conectividad entre agentes de IA, gateways, MCPs, tools y APIs corporativas, asegurando escalabilidad y seguridad
• Definir y revisar mecanismos de autenticación y autorización, incluyendo OAuth 2.0, JWT, scopes, workload identities, token exchange y mTLS
• Diseñar modelos de propagación de identidad técnica y de usuario final, garantizando una correcta gestión de accesos y permisos
• Evaluar integraciones SaaS y de terceros, identificando riesgos, restricciones de seguridad, requisitos de gobierno, trazabilidad y residencia del dato
• Participar en el diseño de patrones y arquitecturas reutilizables para acelerar la adopción de nuevos MCPs y agentes
• Elaborar documentación técnica y diagramas de arquitectura para equipos de Seguridad, Arquitectura y Plataformas
• Colaborar en PoCs y pilotos de conectividad con plataformas externas
• Contribuir a la evolución de soluciones basadas en IA generativa y agentes inteligentes

AI Engineer – MCP Security & Connectivity

• Identify manual, repetitive, or slow Marketing processes and turn them into AI-powered tools and automations
• Design and build LLM-based agents capable of reasoning, using tools, and completing multi-step marketing tasks
• Build solutions for reporting, creative generation, campaign analysis, and channel optimization
• Own projects end to end, from scoping problems with Marketing through designing, building, and shipping solutions
• Integrate LLMs and agents with ad platforms, attribution tools, analytics, dashboards, and other data sources
• Work with Growth, Performance Marketing, and ASO/SEO leads to identify high-impact AI opportunities
• Measure productivity and performance gains and iterate based on real usage
• Participate in interviews, technical assessment, and leadership discussions during the hiring process

AI Engineer – Marketing Tools

• Develop practical AI, machine learning, and optimization solutions for technical and operational teams
• Apply large language models, foundation models, and multimodal approaches to search, analysis, knowledge discovery, and decision support
• Build AI-enabled applications combining models, data pipelines, prompts, agents, evaluations, optimization logic, and user feedback
• Design and use knowledge graphs, ontologies, and structured domain knowledge
• Translate scientific, engineering, process control, and operational questions into data products, model workflows, optimization approaches, and user-friendly analytics
• Develop pipelines for structured and unstructured data, including time-series, laboratory, manufacturing, document, and scientific or technical knowledge sources
• Contribute to model validation, monitoring, documentation, governance, and continuous improvement
• Collaborate across data science, engineering, digital technology, operations, and business teams
• Travel regularly, potentially up to approximately 35% annually, with occasional 2–3 consecutive week on-site periods

• Own the quality of AI-generated visual content, creating realistic, attractive and consistent images of models/personas
• Continuously improve realism, visual polish, approval rate and business performance
• Build and optimize scalable generative AI pipelines using Nano Banana Pro, Flux, ChatGPT, ComfyUI, WaveSpeed and other AI platforms
• Automate content production at scale through batch generation and processing workflows with ComfyUI, n8n, APIs, simple scripts and vibecoding
• Define the technical direction for AI image generation and align different content streams
• Establish best practices and help transition from one-off generation to a reliable production system
• Explore and test new AI models, tools and techniques
• Evaluate business value and implement solutions that improve speed, quality, scalability or cost efficiency

AI Engineer jobs in Spain

AI Engineering Lead

AI Engineer

Senior AI Engineer

AI Engineer

Senior AI Engineer

Junior Product Engineer – AI

AI Engineer – MCP Security & Connectivity

AI Engineer – Marketing Tools

AI Engineer

Lead AI Generative Designer