Company: Mango
Country: Spain
Type: Onsite
Employment: Part-time
Description:
At Mango we dress everything we do with passion. With origins in Barcelona and presence in more than 120 countries, we inspire the world with creativity, innovation and authenticity. Our multicultural team is the engine of our success. We are proud to take fashion further, connecting our unique style with people around the world. OUR TECHNOLOGY TEAM We are a dynamic team, motivated by new technologies, with passion for what we do and desire to take on great challenges that allow us to continue growing. We work with data and artificial intelligence to transform Mango, betting on innovation and agentic AI solutions, always with technology at the service of people. YOUR NEW POSITION: For our Advance Analytics team we are looking for a senior ML/AI Engineer, with a track record in machine learning / applied AI that has evolved towards agentic systems, to design, build and deploy AI agents (multi-agent + RAG) in production for Mango's business teams. Main responsibilities: Design agent architectures: how a task is decomposed, how agents collaborate (Supervisor/Subagent, Plan-and-Execute) and when a person intervenes (human-in-the-loop). Build them in Python with frameworks such as LangGraph, OpenAI/Claude Agent SDK or Google ADK, on FastAPI/Pydantic. Build the RAG that powers them: ingestion, embeddings, vector/hybrid search and agent memory; integration with corporate systems via MCP. Evaluate and observe them in production: evaluation pipelines (LLM-as-Judge, RAGAS/DeepEval), tracing and cost/latency control (LangSmith/Langfuse), security guardrails. Detect use cases with business (design, supply chain, e-commerce, customer service) and take them from idea to production. ABOUT YOU It is an AI engineering role, 100% hands-on. Degree technical training: Computer Science, Mathematics, Physics, Telecommunications, Data Engineering or similar. 4+ years in applied ML/AI (models in production: forecasting, classification, NLP, MLOps...), with 1-2 years working with LLMs in production. Have built agents or RAG systems in production (not just POCs or courses), with some agent framework in Python. Solid Python and engineering fundamentals: APIs, testing, CI/CD, Docker. Cloud (AWS, GCP or Azure) and deployment of services IA. We will value experience in: evaluation and observability of agents in production, MCP. vector bases (pgvector, OpenSearch, Pinecone...), open source contributions or publications and experience in retail/fashion/e-commerce. YOUR BENEFITS: Immediate incorporation with permanent contract. We offer flexible hours (you can enter from 8 to 9:30 and leave from 5 to 7:00 p.m.) with working hours intensive every Friday (you can enter from 8 to 9:30 and leave from 2 to 3:30 p.m.) and most of the eves of holidays. Our offices are located in Palau-Solità i Plegamans. Possibility of teleworking by 50%. 35% discount on all our lines. You can train at a technical level on platforms such as O'Reilly, among others, as well as in languages, and in skills for your personal development. We will accompany you so that you continue to grow professionally and personally! Referral policy, you can participate in the incorporation of talent to our teams, and we will reward you for it! Free company transportation from Barcelona and Vallès to reach our headquarters. Physiotherapy service in the headquarters, as well as a fitness room and locker rooms in case you like to do sports in your time free. Workshops, meetups, communities of practice, team buildings and company meetings. Flexible remuneration package with tax advantages: health insurance, training, dining room discount, daycare, etc. Dining room and kitchen service in the headquarters facilities. The company subsidizes part of the daily menu, as well as cafeteria items. Own medical service in the headquarters facilities. You will be part of a leading company in the fashion sector, dynamic, in full innovation, with great awareness and taking actions towards sustainability. Close, inspiring and ambitious work environment, you will work with a great team that goes in the same direction to achieve the best results. Constant development opportunities with very varied challenges that generate learning in the workplace.
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