Frontier Agentic AI Engineer — Hybrid Madrid

Santander; Madrid; On-site; EUR 90,000 - 140,000; Full time

Benefits offered by this job

Hybrid working model

Open Santander Academy access

Frontier exposure

Competitive rewards

Job summary

Santander AI Lab in Madrid is seeking a Frontier Agentic AI Engineer to design and deploy production-grade agentic AI systems, with real memory, planning and tool use across multi-country infrastructure. The role requires strong Python, REST APIs, cloud experience on AWS, and hands-on work with multi-agent frameworks; you will own features from design to deployment.

The Santander AI Lab emphasizes innovation, ownership, and collaboration in a hybrid Madrid setting, with opportunities to work

Qualifications

• 4--8 years of software or AI engineering experience with 2+ years in production LLM systems

Responsibilities

• Design, build and deploy production-grade agentic AI systems with memory, planning, tool use and recovery
• Fine-tune or adapt language models for domain tasks including evaluation design
• Architect MCP servers, A2A protocols and federated API layers across multi-country infra
• Prototype ideas in two-week sprints from hypothesis to demo to one-pager
• Collaborate with researchers and stakeholders to translate technical concepts into bank value
• Monitor new tools and integrate them if they add real value
• Deliver clean, observable code end-to-end to production teams

Skills

Python

Agentic AI frameworks

LLM APIs

Cloud infrastructure

Model evaluation

API development

DevOps basics

Education

Bachelor's or Master's in Computer Science or related

Master's in AI/ML or related

Tools

LangGraph

AutoGen

CrewAI

Semantic Kernel

Anthropic Claude API

OpenAI

Llama

Mistral

AWS Bedrock

SageMaker

S3

FastAPI

Docker

CI/CD

Kubernetes

Terraform

Job description

Santander AI Lab in Madrid is seeking a Frontier Agentic AI Engineer to design and deploy production-grade agentic AI systems, with real memory, planning and tool use across multi-country infrastructure. The role requires strong Python, REST APIs, cloud experience on AWS, and hands-on work with multi-agent frameworks; you will own features from design to deployment.

The Santander AI Lab emphasizes innovation, ownership, and collaboration in a hybrid Madrid setting, with opportunities to work