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.

Responsabilidades Support strategic consulting project design and delivery with analytical thinking and AI-powered methods Translate business problems into AI-driven solutions and collaborate with project leads Communicate technical approaches to non-technical stakeholders, including leadership Contribute to scoping, workplan structuring, and deliverables in a multi-project setting Design and implement Python-based data pipelines with external data sources and APIs Develop automated data extraction, cleaning,



and transformation workflows Integrate LLM APIs for classification and information extraction Design prompt strategies and validation logic for structured outputs Build reusable components for query generation and multi-source data integration Ensure robust, maintainable AI-powered workflows Design and deploy LLM-powered agents for recurring consulting tasks Build and maintain MCP servers to expose internal tools and data as callable resources Package custom skills and automation workflows for use within LLMs Architect multi-agent systems with specialized agents collaborating on complex tasks Requisitos principales Bachelors or Masters degree in Computer Science, Engineering, Data Science, or related field 2–5 years in applied AI, data engineering, or a consulting-adjacent technical role Strong Python programming skills with data processing and API integration Experience with REST APIs and structured data (JSON) Hands-on experience with LLM APIs in real projects Prompt engineering, structured outputs, tool use patterns and error handling Practical knowledge of MCP server design and implementation Ability to manage multiple concurrent projects with autonomy Clear communication of technical concepts to business audiences Strong learning orientation and responsiveness to feedback Python (or R), SQL, data manipulation/visualization libraries REST APIs, JSON LLM APIs in real projects

📌 Applied AI Consultant Engineer (Barcelona)
🏢 Alira Health
📍 Barcelona