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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