Overview As Lead AI Engineer, you will shape and scale core AI services within the Generative AI and AI Quality space, setting technical standards and architecture. You’ll influence the AI roadmap, drive high-availability systems, and tackle challenging problems in an AI-first environment. You’ll lead by example, mentor engineers, and collaborate with researchers and cross-functional partners to deliver production-grade AI solutions that align with the company’s mission of advancing AI governance, quality, and innovation. This role offers strategic impact and hands-on leadership in a fast-growing startup culture.

Compensaciones / BeneficiosHybrid Work ModelCompetitive Compensation with equity optionsPaid Time Off: 23+ vacation days plus holidaysProfessional Growth budget for courses, certifications, conferencesCutting-Edge Projects in AI governance and qualityDynamic startup environment with growth paths and ownership opportunities ResponsabilidadesLead design, implementation and scaling of core AI services for high availability, performance, and securityMake strategic decisions on models, evaluation frameworks, retrieval systems, agentic workflows, and custom fine-tuningDefine and champion LLMOps, MLOps and DevOps practices to enable agile,



high-quality product deliveryExecute the long-term AI roadmap while upholding best engineering standardsCollaborate with research and technical partners to leverage advanced computational resources for cutting-edge AI solutionsTranslate research into scalable production-grade AI systems with cross-functional teamsMentor junior and mid-level engineers through code reviews, architecture design, and guidanceFoster a culture of technical excellence and knowledge sharing across the team Requisitos principales8+ years building, deploying, and scaling complex softwareat least 4 years in Machine Learning / Deep Learning productsProven ability to thrive in fast-growing environmentsDemonstrated experience guiding technical strategy, mentoring teams, and influencing roadmapsHands-on Generative AI expertise across the full LLM lifecycle: fine-tuning, RAG, agentic systems, production-grade evaluationExpertise designing and scaling production-grade AI/ML systems using Python and deep learning frameworksExperience deploying, monitoring, and maintaining robust AI solutions at scale with MLOps / LLMOpsFamiliarity with LLM orchestration, vector databases, knowledge graphs, observability, and evaluation frameworksStrong communication skills to articulate trade-offs to technical and non-technical stakeholders, including executivesMaster’s in Computer Science, AI, or related field (PhD preferred); fluent in English and Spanishcommunicationmentorshipcross-functional collaborationLLM lifecycle (fine-tuning, RAG, agentic systems)production-grade evaluationPython and deep learning frameworks

📌 Lead AI Engineer (Barcelona)
🏢 Jobrapido
📍 Barcelona