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
Equal Employment Opportunity Statement
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
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