Top Artificial Intelligence Jobs in Barcelona

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.

Design, build, and operate backend services for an AI-driven financial assistant. Own full SDLC, ensure performance, scale, resilience, and collaborate in small autonomous teams.

Build and ship native Android features for an AI Neobank using Kotlin. Design clean user journeys for financial services, integrate backend APIs, improve performance and reliability, use analytics to iterate, and implement on-device AI where it improves UX.

Build and ship native Android features in Kotlin for an AI-enabled neobank: implement payment, insurance, claims and financial flows; integrate backend APIs; improve performance, crash rates and UX; use analytics and on-device ML to enhance user journeys.

Build and ship native iOS features for an AI-enabled neobank using Swift. Create clean user flows for financial products, integrate backend APIs, improve performance and reliability, use analytics to iterate, and implement on-device AI where it improves UX.

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.

Design and maintain a governed, canonical customer dataset by unifying GTM sources, building enrichment and entity-resolution pipelines, preparing structured and unstructured data for LLM/embedding workflows, implementing monitoring and lineage, and defining standards for AI-ready data across RevTech.

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.

The Growth Automation Manager will build and scale Tendios' outbound automation system, focusing on creating a signal-driven opportunity activation engine for public procurement, managing outreach tools, and utilizing AI for personalization. Responsibilities include designing workflows, optimizing messaging, and measuring performance based on generated pipeline and revenue outcomes.

Lead product strategy and roadmap for Dow Jones' shared AI/ML infrastructure. Define model abstraction layers, evals, orchestration, guardrails, and internal AI services. Design the platform for internal developer adoption, set evaluation standards, drive cross-team adoption, reduce duplication, and collaborate closely with ML engineers and data scientists to translate technical trade-offs into business impact.

The Lead Software Engineer will develop AI-powered software solutions, design backend systems, and collaborate with cross-functional teams to enhance AI capabilities.

Lead AI adoption for business teams: run assessments, prioritize use cases, design and deliver workshops, activate champions, remove blockers, track adoption KPIs, and hand teams off as self-sufficient while routing engineering needs to technical teams.

Lead and scale People Operations with stronger payroll governance, HRIS/payroll integrations, compliance, and AI-enabled automation. Manage a small team, build processes, controls, SLAs, documentation, reporting, and collaborate with Legal, Finance, Compliance and external advisors to prepare for multi-entity growth and audits.

Serve as the bridge between engineering and business to deliver AI products from PoC to production. Translate business needs into product requirements, manage planning and prioritization, challenge technical decisions for scalability, mitigate risks and dependencies, and maintain stakeholder alignment and delivery cadence across cross-functional teams.

The Senior SEO & AI Search Strategist will lead enterprise customers in SEO and AI search, developing strategies and plans, while advising senior decision-makers and driving measurable outcomes.

Own end-to-end product for a slice of Nebius AI compute platform: define strategy, APIs, and roadmaps; drive cross-team delivery; conduct structured discovery; measure adoption and platform outcomes; engage engineering as a technical peer; and close operational feedback loops to improve reliability and customer experience.

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.

Create AI-generated and traditional visual content for social, campaigns, brand channels, and presentations. Develop short-form AI videos, layout templates, storyboards, and design systems in Figma. Collaborate cross-functionally, test AI tools and prompts, and polish AI outputs into on-brand, campaign-ready assets while maintaining visual consistency.

Design and develop scalable, reliable, and secure software applications for AI solutions. Guide, mentor, and optimize software architectures in collaboration with teams.

Design, prototype, and deploy state-of-the-art multimodal neural search and ranking deep learning models for personalized learning; collaborate with product and engineering, mentor junior scientists, and establish ML best practices and production pipelines.

Lead development and deployment of deep learning, NLP, and multimodal AI models for personalized learning and AI tutors. Drive research, prototype solutions, collaborate with product and engineering teams, and mentor junior scientists while ensuring scalable production pipelines and ML best practices.

Design, build, and operate low-latency multi-agent LLM systems. Ensure high-quality real-time communication and optimize prompt programming and retrieval processes.