Top Artificial Intelligence Jobs in Barcelona

Create short- and long-form AI-generated educational and entertainment content for Instagram, TikTok, and YouTube. Rapidly test content hypotheses, analyze performance, research trends and competitors, and iterate on hooks, storytelling, and editing. Collaborate with the product team and continually experiment with AI image/video generation and editing tools.

Lead and build Maze’s new AI-native Market Research service: define research vision and methodologies, recruit and manage a research team, own delivery quality, partner with Product/Engineering and GTM, and serve as executive research lead on strategic customer engagements.

The Senior ML Engineer will create and improve ML models, collaborate with teams, monitor models in production, and maintain documentation.

Design, build, and deploy production-quality AI/ML solutions (NLP & Computer Vision). Own end-to-end ML lifecycle including data cleaning, model development, MLOps, automated deployment, monitoring, testing, and optimization in cloud environments.

The Director of Business Development will drive revenue through creating strategies for new business, managing client relationships, and overseeing sales processes while ensuring high service standards.

As an AI Strategist, you'll deploy AI agents for healthcare clients, optimize operations, drive performance improvement, and develop internal frameworks.

Serve as embedded technical lead to design, build, and demo production-grade agentic AI solutions for slot/casino game production. Deliver prototypes on real game stacks (math engine, backend, client), create transferable agentic harnesses/loops, own model selection, deployment, cost/monitoring, and lead knowledge transfer and client-facing technical engagement.

Remote, asynchronous role evaluating AI-generated Catalan text and audio for accuracy, tone, grammar, and cultural relevance. Provide corrections and constructive feedback via an online platform, ensuring consistency and quality across evaluations. Expect approximately 10 hours of work per week.

Design, prototype, and ship AI-powered features and agent/LLM workflows for analytics and large datasets. Rapidly iterate with user feedback, integrate agentic components with internal tools, and ensure scalable, production-grade solutions while collaborating across the team.

Design, train, and deploy LLM-powered agents and recommendation/ranking models from large-scale logs; build recommendation APIs; support CI/CD for model/data versioning; design offline metrics and assist online A/B testing; collaborate in Agile teams and monitor SLAs/KPIs.

Join Entrust's AI team to define, prototype, and implement AI/ML solutions and agentic AI features. Collaborate cross-functionally to build scalable, documented systems with REST APIs, CI/CD, containerization, testing, and cloud deployments, advancing Pilot→MVP→Production innovation.

Build production AI-native systems for BJAK's neobank: AI agents, RAG/LLM apps, tool-calling, automations and copilots for onboarding, KYC, support, risk, CRM and operations while addressing accuracy, hallucination, latency, cost, security and compliance.

Develop, fine-tune, and productionize ML models for mobile apps. Own data curation, experimentation, evaluation, deployment, and integration with mobile/backend teams while tracking quality metrics.

Design and scale AI systems for healthcare conversations, ensuring low-latency performance and reliable orchestration of speech and LLM pipelines.

The Business Development Rep will qualify clients and manage outreach in AI Cloud sales, engaging technical audiences and developing partnerships.

The AI Software Engineer will develop and improve Joko's AI shopping assistant, focusing on architecture, evaluation, data management, and personalized user experiences, while collaborating with product teams.

The Senior AI Consultant will lead data analyses, assist in machine learning model training, build AI solutions, and train clients, focusing on optimizing pharma manufacturing operations.

Adapt and review scripts for AI dubbing, ensure natural and accurate German localization, review AI-generated dubbing outputs for quality, collaborate with teams to improve language and creative outcomes, and manage multiple projects to deadlines.

Remote AI/ML Architect to assess current AI/ML landscape, document requirements, and propose SDLC, governance, and deployment approaches. Provide recommendations to architecture and ICT management. Onboarding in the Netherlands (first week). Candidates must be based in Europe with a valid work permit.

Design and document the current AI/ML landscape, capture requirements, propose SDLC approaches and tooling, and advise architecture and ICT management on AI/ML solution design, governance, and deployment. Remote role with first-week onboarding in the Netherlands.

Lead and build Axelera's AI Infrastructure Systems division to deliver datacenter-class hardware from accelerator cards and OAM/UBB modules to 1U/2U racks. Own architecture, schematics, PCB/layout review, power/thermal/mechanical design, BMC/firmware, bring-up, validation, qualification, NPI, and ramp with CMs/ODMs. Align roadmaps with silicon, SDK, and product teams, engage customers and partners, set engineering processes, manage budget and vendor relationships, and mitigate technical risks through hands-on leadership.

Lead design, training, and evaluation of LLMs for translation and language-quality tasks; build robust evaluation frameworks; architect agentic multi-model workflows; own model development from data curation to production; run reproducible experiments; collaborate with product and engineering and mentor researchers.

The AI-First Full-Stack Engineer will lead full-stack development using Node.js and Next.js, integrating AI workflows and orchestrating Claude agent teams for efficient engineering processes, ensuring compliance with healthcare standards.

The Senior Product Manager will lead the strategic roadmap, conduct market research, manage monetization strategies, and mentor a team while collaborating across various departments.

Develop and maintain automation testing frameworks, execute tests, and implement AI-driven quality practices while collaborating with product teams.