Design, build, configure, and deploy technology solutions supporting Medical Affairs workflows.
Design and implement agentic AI capabilities, orchestration workflows, and intelligent automation solutions.
Develop and maintain integrations, APIs, data flows, and reusable platform components.
Translate business requirements into user stories, technical specifications, solution designs, and working software.
Collaborate with Architecture, Engineering, Data Science, Security, and Compliance teams to deliver scalable and compliant solutions.
Contribute to the implementation of LLM integrations, knowledge repositories, prompt strategies, and AI-enabled workflows.
Design and implement evaluation frameworks, guardrails, traceability mechanisms, and human-in-the-loop review processes for AI-enabled solutions.
Troubleshoot and resolve technical issues across applications, integrations, AI components, and platform services.
Support product deployment, monitoring, continuous improvement, and user adoption activities.
Contribute to technical documentation, architecture decisions,



and engineering best practices.
Evaluate emerging technologies and recommend innovative solutions for Medical Affairs use cases.
Requirements 4–6 years of experience delivering enterprise digital products, technology solutions, software engineering projects, AI-enabled solutions, or related technology initiatives.
Fluent English communication skills, both verbal and written.
Experience working in cross-functional engineering teams and collaborating with business stakeholders.
Ability to translate business requirements into scalable technical solutions.
Experience with software delivery, APIs, integrations, cloud platforms, or enterprise applications.
Hands-on experience with Generative AI, LLM-based applications, AI-enabled automation, or agentic workflows.
Strong analytical, problem-solving, and critical-thinking skills.
Strong stakeholder management and communication capabilities.
Ability to operate e

📌 Technical Product Engineer, Medical Affairs (Madrid)
🏢 Jobtailor
📍 Madrid