Overview In this role you will lead the end-to-end delivery of AI-powered product features on the Cortellis platform. You will shape scalable backend and frontend solutions, integrating GenAI capabilities and agent-based workflows to support mission-critical pharmaceutical decision-making. You’ll collaborate with UX and distributed teams to ensure reliable, production-ready AI integrations and measurable outcomes. This is a hands-on leadership position that balances architectural impact with delivering customer-facing capabilities. You will drive technical decisions and mentor engineers to elevate the team’s engineering excellence.

Compensaciones / Ventajas

30 working days of vacation Volunteering paid hours Private health and life & disability insurances Tax-free benefits (Ticket Restaurant scheme, kindergarten, transport cards) Agile work environment On-site language classes (Catalan, Spanish, English)

Responsabilidades

Design and deliver scalable backend features from architecture to production Build and maintain microservices and APIs using Java and Node.js with a focus on performance, reliability, and security Own end-to-end product features from concept to rollout and continuous improvement Integrate AI capabilities (LLM features, RAG patterns,



agent workflows) into the platform Improve AI output quality, manage limitations, and optimize performance for production Apply prompt engineering best practices and contribute to reliable AI-enabled systems Collaborate with product, engineering, and domain teams to deliver high-impact solutions Mentor and support other engineers to raise engineering standards across the team

Requisitos principales

7+ years backend development experience (Java 11/17, Spring Boot, microservices) 6+ years frontend experience (Angular, Node.js) and full-stack product development 3+ years integrating AI in production (OpenAI/Azure OpenAI), including prompt engineering and AI assistants Hands-on experience with RAG pipelines (chunking, embeddings, retrieval orchestration) and evaluating AI systems Experience delivering end-to-end product features with CI/CD and cloud platforms (AWS or equivalent) Experience building and scaling AI-enabled platforms in production Collaborative mindset Mentorship and leadership Strong problem-solving and communication Java 11/17, Spring Boot, microservices Angular, Node.js OpenAI/Azure OpenAI APIs, prompt engineering

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