Overview

As Lead AI Engineer, you design, build and deploy production-ready AI applications at global scale, with a hands-on focus on GenAI, Azure OpenAI, and RAG. You will establish an internal AI center of excellence, collaborating with data engineers and business teams to move use cases from PoC to production. You will influence tech standards, mentor engineers, and drive high-impact AI initiatives across the organization.

This role offers remote work from Spain (or hybrid if in Barcelona) and a clear path to technical leadership.

Compensaciones / Beneficios remote work from anywhere in Spain career progression ongoing technical development multicultural, international team

Responsabilidades Design, build and deploy production-ready AI applications using Generative AI, Azure OpenAI, RAG, and intelligent automation

Seamless enterprise integration with core data platforms and business applications

Hands-on development including production-grade Python code, APIs, and RAG pipelines

Scale AI use cases across integral business units with reliability and performance

Collaborate with data engineering, BI, and cross-functional teams to ship unified solutions

Define KPIs to measure cost, adoption, and ROI of AI tools





Provide technology leadership and evaluate latest AI breakthroughs while setting internal standards

Share knowledge and mentor other engineers; contribute to AI engineering best practices

Collaborate with Data Engineers responsible for the data platform while owning the AI app layer

Requisitos principales Hands-on AI engineering with daily coding and production work

Practical experience with premier LLMs (e.g., GPT, Claude) and prompt engineering

Strong expertise in RAG architecture, embeddings, vector search, and document processing

Expert Python development for production APIs and AI apps

Understanding of data lake / lakehouse platforms and API-based system integration with ERP/CRM

Azure-centric cloud experience: Azure OpenAI, Azure AI Search, Azure Functions, App Services

MLOps / LLMOps lifecycle for live environment deployment and monitoring

Security, governance & compliance knowledge including RBAC and EU AI Act awareness

Cross-functional collaboration

Mentoring and knowledge sharing

Strategic thinking and stakeholder communication

GenAI & LLM mastery

RAG design and embeddings

Python production APIs

📌 Lead AI Engineer (Hands-on) with GenAI & Azure experience (Barcelona)
🏢 Babel Profiles
📍 Barcelona