Top Artificial Intelligence Jobs in Barcelona

Join COLIBRIX.ONE as a Manual AI-Assisted QA Engineer focusing on fintech solutions, validating payment and wallet flows through various testing methods while leveraging AI tools for optimization and efficiency.

The Principal Product Manager will drive the strategy for AI-based pricing and reconciliation across travel services, manage model lifecycles, and ensure operational integrity in real-time financial data processing in collaboration with cross-functional teams.

Conduct applied AI/ML research to solve home design challenges, work with raw data, test hypotheses, and build prototypes/MVP solutions.

As a Sales Development Representative, you will connect with global clients, deepen relationships, and drive adoption of AI solutions.

The AI Research Engineer will advance robotics through reinforcement learning, designing and deploying AI agents in complex environments, collaborating with cross-functional teams.

You will design, train, and deploy agents in multi-agent environments, enhancing our reinforcement learning capabilities and integrating cutting-edge AI into production systems.

Design and develop scalable backend services, integrate AI capabilities, and improve existing systems. Collaborate across teams to enhance the CMC platform.

The AI Enablement Lead will drive AI adoption, design training programs, and ensure operational change within the team, enhancing AI usage and effectiveness.

The AI R&D & Effectiveness Lead will evaluate AI investments, build production-grade AI solutions, and manage AI capabilities to enhance Smadex's operational efficiency.

The Senior AI & Automation Engineer will design and implement intelligent automation systems within the Finance team, integrating AI tools and financial data processes. Responsibilities include creating AI workflows, managing ERP systems integration, and building automation tools for compliance and reporting.

Lead and build the AI foundation for an AI-native vulnerability management platform. Own AI strategy, evaluation frameworks for non-deterministic agents, fine-tuning and model-routing experiments, prototype and ship agentic features, and lead a small hands-on AI team to productionize breakthroughs in generative AI for cybersecurity.

Design, build, and operate production-grade automations that reduce manual work across Operations, Support, Finance, and Tech. Identify high-volume automation opportunities, integrate with existing systems via APIs/webhooks, apply AI/LLMs for classification/routing/summarization, and ensure reliability, observability, and iterative improvement of workflows.

Transcribe and annotate Catalan audio/video, perform data labeling and classification, and record voice samples. Ensure native-level fluency, accurate grammar/spelling, attention to detail, and meet project quality and speed requirements.

Remote contributors will transcribe and annotate audio/video, perform data classification and labeling, and record voice samples in Singlish. Must be fluent in spoken and written Singlish, accurate with grammar/punctuation, follow project guidelines, and meet productivity and quality standards.

Lead technical qualification, design, and delivery of AWS-based data, analytics, ML and AI solutions. Translate requirements into scalable AWS architectures, drive complex projects, contribute to SOWs and handovers, identify risks and opportunities, and mentor colleagues while building repeatable services and accelerators.

As an AI Engineer, you'll design AI tools for authors, enhance internal workflows, and build tools for AI development, collaborating with teams to identify AI opportunities.

Design, build, and optimize AI-driven automation workflows using platforms like Zapier/Make and LLMs. Integrate APIs, develop Python/JavaScript backend logic, maintain automation pipelines for sales/marketing/support, monitor systems, troubleshoot issues, and document scalable SOPs.

Remote SDR responsible for outbound prospecting, qualifying leads, booking demos, maintaining CRM records, collaborating with marketing and sales, and meeting monthly KPIs in the AI SaaS space.

Design, develop, and deploy AI/ML models and LLM-powered workflows (chatbots, copilots, automation). Integrate models with APIs and SaaS platforms, fine-tune prompts, work with structured/unstructured data, monitor performance, and collaborate with product and engineering teams to deliver scalable AI solutions.

Design, prototype and deliver production-ready AI solutions for insurance, focusing on agentic AI, multi-agent systems, LLMs, RAG pipelines and computer vision. Research and implement state-of-the-art models, build scalable products, take solutions from architecture and PoC to production, and collaborate with data science and engineering teams.

Build reusable AI developer tools, RAG knowledge systems, and AI-assisted SDLC workflows. Integrate coding assistants and design-to-code tooling, define secure observable patterns, and own reliability, usage, and cost for internal AI platforms.

Lead global product and engineering teams to design, build, and operate an enterprise-grade AI/ML platform for scientific research. Own strategy, partner with internal and external stakeholders, ensure security, GxP compliance, scalability, cost management, and developer experience across ML infrastructure, SDKs, tooling, and deployments.

Lead end-to-end ML product roadmaps and initiatives (e.g., Attachment Matcher, Transaction Categorizer). Collaborate with data scientists, engineers, and stakeholders to define, deliver, and monitor ML solutions that drive measurable business value for SMEs across Qonto's platform.

Develop and deploy production-ready Generative AI applications using LLMs and RAG. Integrate OpenAI/AWS Bedrock APIs into systems, collaborate with data engineering, tune performance, monitor deployments, and document solutions for technical and non-technical stakeholders.

The Senior AI & Computer Vision Software Engineer will work on innovative software solutions, bridge research and production, and mentor others while working in an Agile environment.