Senior GenAI Engineer – LLMs & RAG (Madrid)

Senior GenAI Engineer – LLMs & RAG (Madrid)

04 ago
|
Accenture España
|
Madrid

04 ago

Accenture España

Madrid

ppAt Accenture, we believe in technology as the engine for the total reinvention of the company. We work with the leading platforms and partners in the market to drive our clients' businesses through digitalization, AI, and data. If you want to be part of a Great Place To Work® and join a team of over 801,000 professionals worldwide, keep reading. /p h3What You’ll Be Doing /h3 ul liDesign and build scalable GenAI pipelines using modern orchestration frameworks and cloud services. /li liManage full RAG (Retrieval-Augmented Generation) pipelines: ingestion, chunking, embeddings, vector storage, retrieval, and generation. /li liIntegrate and manage foundational models (FMs) from platforms like Amazon Bedrock and OpenAI. /li liCollaborate with cross-functional teams to define architecture and operationalize AI models in production environments. /li /ul pThe position is based in Madrid, Barcelona, Coruña, Málaga, Sevilla in a hybrid work model, combining remote work with in-office collaboration to foster team synergy. /p pYou must reside in Spain and have a valid work permit. /p h3Responsibilities /h3 ul liDevelop and deploy end-to-end AI solutions using LLMs, LangChain/LangGraph, and cloud-native tools. /li liApply ML/DL frameworks (TensorFlow, PyTorch, Hugging Face) to solve real-world problems. /li liEnsure code quality, scalability, and maintainability following software engineering best practices. /li liMonitor and optimize performance of deployed models and pipelines. /li /ul h3Must-Have Skills /h3 ul li3+ years of hands‑on experience in Artificial Intelligence. /li liStrong Python development skills.



/li liExperience with LangChain or LangGraph for GenAI orchestration. /li liDeep understanding of LLM fundamentals: Transformers, attention mechanisms, embeddings, tokenization. /li liProficiency in at least one cloud platform (AWS, Azure, or GCP). /li liExperience with Azure AI Studio or Amazon Bedrock. /li liStrong experience with RAG pipelines and OpenAI APIs. /li liFamiliarity with ML libraries: scikit-learn, Pandas, Numpy. /li liExcellent communication skills in English (B2/C1 level). /li /ul h3Nice-to-Have Skills /h3 ul liKnowledge of Responsible AI and Guardrails. /li liExperience with Amazon SageMaker, semantic search tools (Kendra, OpenSearch). /li liFamiliarity with data visualization tools (Matplotlib, Seaborn, Plotly). /li liExposure to CI/CD and MLOps practices. /li liUnderstanding of Infrastructure as Code (Terraform, CloudFormation). /li liExperience in financial services or regulated environments. /li liContributions to the open-source AI community. /li /ul h3What We Offer /h3 pAt Accenture, recognized as a Great Place To Work®, we embrace a hybrid work model that fosters human connection through technology and collaboration. We are proud to be named the most diverse company in the world by Refinitiv. /p pYou’ll also enjoy: /p ul liHealth, life, and accident insurance /li liMedical services and wellness programs /li liFlexible compensation and stock purchase plans /li liFlexible schedules and vacation policies /li liPersonalized training paths /li liSustainability programs and Accenture Foundation initiatives /li liEmployee diversity networks /li liAdditional perks: Bankinter office benefits and profit sharing /li /ul /p #J-18808-Ljbffr

📌 Senior GenAI Engineer – LLMs & RAG (Madrid)
🏢 Accenture España
📍 Madrid

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