Level

Santander

Full Stack Engineer - Knowledge Base Team

Santander is hiring a Full Stack Engineer - Knowledge Base Team. Level rates it ; you can apply on Santander.

Level's read on this job

  • Level rates this software engineer role Builds AI ●●●●: the job is building AI systems.
  • Tools and skills the posting cites include Bedrock, RAG and AI agents.
  • Level lists 1,000+ other open roles at Santander.
  • The role was posted in the last few days.

AI in this role

bedrock
ragai-agentsai-automation
Full Stack Engineer - Knowledge Base Team

Country:

IT STARTS HERE


Santander (www.santander.com) is evolving from a global, high-impact brand into a technology-driven organization, and our people are at the heart of this journey. Together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what’s possible.

This is more than a strategic shift. It’s a chance for driven professionals to grow, learn, and make a real difference.


Our mission is to contribute to help more people and businesses prosper. We embrace a strong risk culture and all our professionals at all levels are expected to take a proactive and responsible approach toward risk management.


Our Chief Data & Artificial Intelligence Officer (CDAIO) division is building a world-class AI & Data team to make a difference in the lives of over 170 million people worldwide, through one of the largest banks in the world.

We are undergoing one of the biggest transformations in our history and technology is at the heart of our strategy. Join our team to play a part in one of the most important technological projects for the financial sector in the world.

Our mission is to contribute to helping more people and businesses prosper. We embrace a strong risk culture and all our professionals at all levels are expected to take a proactive and responsible approach toward risk management. 


THE DIFFERENCE YOU MAKE


CDAIO / AI TECH is looking for a Full Stack Engineer based in Madrid to join the Knowledge Base team.


You will build and operate secure, scalable applications, APIs, and user experiences that transform enterprise data into trusted knowledge for RAG, GraphRAG, semantic search, and AI agents.

Working with AI, Data, Cloud, DevOps, Product, and Security teams, you will deliver production-grade capabilities at enterprise scale. Key responsibilities:


  • Design and build full stack applications, backend services, APIs, and web interfaces for the Knowledge Base Platform.
  • Develop data-to-knowledge workflows covering ingestion, chunking, embeddings, metadata, entities, relationships, retrieval, and validation.
  • Build RAG and GraphRAG services combining vector search, graph traversal, reranking, grounding, and citations.
  • Create secure integrations and tools for AI agents, including MCP-based interfaces.
  • Deliver cloud-native solutions on AWS using containers, serverless, and event-driven patterns.
  • Apply strong engineering practices across testing, security, observability, CI/CD, reliability, and cost.
  • Collaborate across teams and contribute to technical design decisions and platform evolution.

WHAT YOU'LL BRING

Our people are our greatest strength. We value diverse perspectives and empower individuals to make an impact.


Professional Experience

  • 5+ years in full stack, backend, cloud, platform, or AI engineering. (Required)
  • Experience building and operating production-grade distributed systems, APIs, or cloud applications. (Required)
  • Hands-on experience with LLM applications, RAG, semantic search, or intelligent automation. (Required)
  • Experience in a regulated enterprise environment. (Preferred)

Education

  • BSc or MSc in Computer Science, Software Engineering, or a related field, or equivalent practical experience. (Required)

Languages

  • Spanish proficiency. (Required)
  • High level of English. (Preferred)

Hard Skills

  • Strong Python skills and experience with FastAPI, Django, or Flask. (Required)
  • Experience with React, TypeScript, JavaScript, HTML, and CSS. (Required)
  • Strong knowledge of APIs, microservices, distributed systems, security, testing, CI/CD, and observability. (Required)
  • Hands-on AWS, Docker, Kubernetes, and infrastructure-as-code experience. (Required)
  • Knowledge of RAG, embeddings, vector search, reranking, grounding, and evaluation. (Required)
  • Experience with relational, document, vector, graph, or search databases. (Required)
  • Knowledge of knowledge graphs, GraphRAG, agent frameworks, Amazon Bedrock, or MCP. (Preferred)

Soft Skills

  • Strong problem-solving, ownership, and end-to-end delivery skills.
  • Clear communication and effective collaboration with technical and non-technical stakeholders.
  • Pragmatic judgment balancing speed, quality, security, reliability, and cost.

WE VALUE YOUR IMPACT


Your contribution matters, and it’s recognized. You can expect a fair, competitive reward package that reflects the impact you create and the value you deliver. But we know rewards go beyond numbers.

  • We’re enable our teams to go beyond through global opportunities and broad career paths.
  • Flexibility that works. Enjoy a hybrid working models—some days remote, some days onsite with your team—along with flexible hours.
  • Learning for life. Access hundreds of courses on our platforms, including exclusive access to our global learning space: Santander Open Academy (www.santanderopenacademy.com)
  • Competitive rewards. Receive a highly competitive salary with performance-based bonuses, motivating you to keep growing with us.
  • Financial advantages. Benefit from preferential banking terms, special interest rates on loans, life insurance, and more.
  • Your health is our priority. Through BeHealthy, our global wellness programme, we promote Holistic wellbeing.
  • We know family is everything. That’s why we offer childcare support and family-friendly programmes tailored to each life stage.
  • Always by your side. Get access to Santander Contigo, our program for employees and their families offering legal, emotional, and administrative advisory services.
  • Extra benefits. Gym/WellHub membership, medical centers in some of our facilities, meal subsidy, parking, shuttle service from various points in Madrid, as well as exclusive discounts and offers for Santander employees. And that’s only the beginning—we’ll tell you more when you join!

We’re here to keep you motivated, help you reach your goals, and celebrate your progress, every step of the way.


We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify, and build.


The personal data you provide as well as any data generated during the selection process are confidential and will be processed by Open Digital Services, S.L. with registered office at Plaza de Santa Bárbara 2, 28004 (Madrid), Madrid, Spain for the sole purpose of managing your participation in the selection processes and, where appropriate, to formalise your recruitment.  


For further information about your rights and data protection, please read the Open Digital Services Privacy Policy applicable to this type of data processing.


LOCAL COMPLIANCE


Santander is proud of being an organization where there are equal opportunities regardless of age, gender, disability, civil status, race, religion or sexual orientation. We are committed to providing an inclusive and accessible application process for all candidates.


WHAT TO DO NEXT


If this sounds like a role you are interested in, then please apply.



READY TO TAKE THE NEXT STEP IN YOUR JOURNEY?

How we rate this

Full Stack Engineer - Knowledge Base Team at Santander rates 82 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGAI agentsAI AutomationBedrock

Also common in software engineer jobs at this level

Pay

Typical software engineer job
$168k

This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs

Questions you could be asked

  1. How would you design a retrieval step so the model answers from real data instead of guessing?
  2. How do you decide when an AI agent can act on its own versus asking for approval first?
  3. Tell me about a workflow you automated with AI tools, end to end.
  4. What's a project where you used Bedrock hands-on?
  5. How would you decide a model or AI system is ready to ship?

Adapt your resume

  • List these exact terms on your resume: RAG, AI agents, AI Automation, and Bedrock. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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