Overview In this hybrid role, you will blend technical AI development with strategic consulting to shape AI-driven delivery within healthcare and life sciences projects. You’ll work on embedding AI capabilities into consulting workflows, building data pipelines, and deploying agents and multi-agent systems to improve project outcomes. You’ll collaborate with a senior consulting team to translate business problems into AI solutions and communicate results to non-technical stakeholders. This position offers hands-on engineering work and meaningful client-facing impact in a fast-paced, cross-functional environment.

ResponsabilidadesSupport strategic consulting project design and delivery with analytical thinking and AI-powered methodsTranslate business problems into AI-driven solutions and collaborate with project leadsCommunicate technical approaches to non-technical stakeholders, including leadershipContribute to scoping, workplan structuring, and deliverables in a multi-project settingDesign and implement Python-based data pipelines with external data sources and APIsDevelop automated data extraction, cleaning,



and transformation workflowsIntegrate LLM APIs for classification and information extractionDesign prompt strategies and validation logic for structured outputsBuild reusable components for query generation and multi-source data integrationEnsure robust, maintainable AI-powered workflowsDesign and deploy LLM-powered agents for recurring consulting tasksBuild and maintain MCP servers to expose internal tools and data as callable resourcesPackage custom skills and automation workflows for use within LLMsArchitect multi-agent systems with specialized agents collaborating on complex tasks Requisitos principalesBachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field2–5 years in applied AI, data engineering, or a consulting-adjacent technical roleStrong Python programming skills with data processing and API integrationExperience with REST APIs and structured data (JSON)Hands-on experience with LLM APIs in real projectsPrompt engineering, structured outputs, tool use patterns and error handlingPractical knowledge of MCP server design and implementationAbility to manage multiple concurrent projects with autonomyClear communication of technical concepts to business audiencesStrong learning orientation and responsiveness to feedbackPython (or R), SQL, data manipulation/visualization librariesREST APIs, JSONLLM APIs in real projects

📌 Applied AI Consultant Engineer - barcelona
🏢 Jobrapido
📍 Barcelona