16 sep
|
Babel Profiles
|
Barcelona
16 sep
Babel Profiles
Barcelona
Overview
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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 / Incentivos
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 global 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 xqbhyrx 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