Top Tech Jobs & Startup Jobs in Madrid

Lead the company’s ML/AI platform from experimentation through production, including SageMaker training infrastructure, model serving, inference pipelines, MLOps, and Java microservice integrations. Set AI/ML technical direction, develop GenAI and LLM retrieval and agent architectures, establish evaluation and safety guardrails, and partner with data science, DevOps, product, and engineering leadership on scalable ML roadmaps.

Build and operate globally distributed, high-throughput ad-serving systems with strict latency and availability requirements. Responsibilities include evolving ad decision pipelines, improving scalability, reliability, security, and performance, designing new product features with product management, providing operational oversight, and collaborating with customer success. The role also involves production backend development, cloud services, APIs, databases, on-call support, infrastructure modernization, testing, and observability.

Design and implement scalable backend services and APIs with tight AI/LLM integration. Collaborate with product and data science teams to operationalize models, deploy microservices (Docker/Kubernetes), maintain CI/CD and reliability, mentor junior engineers, drive technical best practices, ensure security and compliance, and lead feature development and documentation.

This is a spontaneous application opportunity for candidates to express interest in future roles within the company, not currently hiring for any specific position.

Deploy enterprise-grade AI solutions, focusing on RAG pipelines and LLM workflows, while optimizing solutions on the Stack AI platform for strategic accounts.

Brainly invites interested candidates to submit their CV and skills for potential future openings as the company continues to grow and adapt quickly.

The Senior Infrastructure Engineer will own the cloud stack, enhance observability, architect browser cloud infrastructure, debug operational issues, and mentor other engineers, while managing multiple production workloads at scale.

Design and maintain data warehouse systems, develop ETL pipelines, manage datasets for analytics, and implement real-time data solutions.

SynergyOS seeks software engineers for backend, frontend, and DevOps roles to build a productivity platform for enterprises, enhancing office workflows.

The Client Manager in the Creative Excellence Service Line supports clients in developing and assessing advertising to improve business outcomes.