Senior GenAI Engineer – LLMs & RAG
As a Senior AI Engineer in our Data & AI team, you will:
- Design and build scalable GenAI pipelines using modern orchestration frameworks and cloud services.
- Manage full RAG (Retrieval-Augmented Generation) pipelines: ingestion, chunking, embeddings, vector storage, retrieval, and generation.
- Integrate and manage foundational models (FMs) from platforms like Amazon Bedrock and OpenAI.
- Collaborate with cross-functional teams to define architecture and operationalize AI models in production environments.
The 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.
You must reside in Spain and have a valid work permit.
Responsibilities
- Develop and deploy end-to-end AI solutions using LLMs, LangChain/LangGraph, and cloud-native tools.
- Apply ML/DL frameworks (TensorFlow, PyTorch, Hugging Face) to solve real-world problems.
- Ensure code quality, scalability, and maintainability following software engineering best practices.
- Monitor and optimize performance of deployed models and pipelines.
Must-Have Skills
- 3+ years of hands-on experience in Artificial Intelligence.
- Strong Python development skills.
- Experience with LangChain or LangGraph for GenAI orchestration.
- Deep understanding of LLM fundamentals: Transformers, attention mechanisms, embeddings, tokenization.
- Proficiency in at least one cloud platform (AWS, Azure, or GCP).
- Experience with Azure AI Studio or Amazon Bedrock.
- Strong experience with RAG pipelines and OpenAI APIs.
- Familiarity with ML libraries: scikit-learn, Pandas, Numpy.
- Excellent communication skills in English (B2/C1 level).
Nice-to-Have Skills
- Knowledge of Responsible AI and Guardrails.
- Experience with Amazon SageMaker, semantic search tools (Kendra, OpenSearch).
- Familiarity with data visualization tools (Matplotlib, Seaborn, Plotly).
- Exposure to CI/CD and MLOps practices.
- Understanding of Infrastructure as Code (Terraform, CloudFormation).
- Experience in financial services or regulated environments.
- Contributions to the open-source AI community.
What We Offer
- Health, life, and accident insurance
- Medical services and wellness programs
- Flexible compensation and stock purchase plans
- Flexible schedules and vacation policies
- Personalized training paths
- Sustainability programs and Accenture Foundation initiatives
- Employee diversity networks
- Additional perks: Bankinter office benefits and profit sharing
Madrid
Barcelona
La Coruna
Malaga
Sevilla
平等就业机会声明
所有聘用决定均不考虑年龄、种族、信仰、肤色、宗教、性别、国籍、血统、残疾状况、退伍军人身份、性取向、性别认同或表达、基因信息、婚姻状况、公民身份或任何其他受联邦、州或地方法律保护的因素。
求职者在招聘过程中没有义务披露已封存或已删除的定罪或逮捕记录。
埃森哲致力于为我们的男女军人提供退伍军人就业机会。
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We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.
We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.
At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™.
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