AI Engineer – Software Delivery Enablement

Getnet Platforms; Boadilla del Monte; Híbrido; EUR 70.000 - 110.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

Hybrid work model

Transportation allowance

Meal vouchers

Descripción de la vacante

Getnet Platforms in Madrid is hiring an AI Engineer – Software Delivery Enablement to scale AI-assisted software delivery across the full lifecycle. You will translate business needs into structured delivery artifacts, design AI workflows, and build reusable AI components for engineering teams.

The role requires hands-on experience with LLMs, prompt engineering, APIs, and DevOps practices, and offers a hybrid model with on-site presence in Madrid as needed.

Formación

• Experience designing or implementing AI-based solutions using LLMs, prompt engineering, agents, RAG, workflow automation or developer productivity tools.
• Strong background in software delivery, Agile, CI/CD, and production support.
• Experience building internal developer platforms and productivity accelerators in enterprise environments.

Responsabilidades

• Enable AI-assisted software delivery across the full lifecycle from ideation to post-release analysis.
• Translate business ideas into structured delivery artifacts (user stories, technical requirements, tests).
• Identify friction and automate SDLC processes with AI-powered workflows.
• Design, build, and maintain reusable AI skills, prompts, agents, and templates for engineering teams.

Conocimientos

LLMs

Prompt engineering

AI agents

Python

APIs integration

DevOps

Herramientas

GitHub

Jira

Confluence

Jenkins

Azure DevOps

Descripción del empleo

ABOUT GETNET

Getnet Platforms is part of Santander Payment Solutions and brings together a set of key platforms within Santander’s global payments technology ecosystem. It includes software-as-a-service capabilities across the entire payments value chain, such as account-to-account processing, FX, SWIFT connectivity, fraud management and card processing infrastructure.

It enables financial institutions, non-bank financial institutions (NBFIs) and payment service providers (PSPs) to operate, scale and evolve their payment capabilities across multiple rails, markets and regulatory environments, without the need to rebuild their core systems.

Proven at scale, including within Santander itself, these platforms provide a modular foundation that complements Getnet’s global payment capabilities to support client growth through payments.

WHY JOIN OUR TEAM

If you want to shape the future of financial solutions, this is the place!

At Getnet Platforms, your work connects to something bigger, creating a real impact across global teams and markets for our clients and communities.

Our people are our greatest strength. We combine growth opportunities, strong team connections, and a culture that supports your well-being and sense of belonging, so you can develop, contribute, and feel valued. With flexibility and autonomy built into how we work, you’ll have the space to focus, collaborate, and perform at your best.

Here, your impact matters, your growth is supported, and your experience is designed to help you thrive.

WHAT YOU’LL DO

As an AI Engineer – Software Delivery Enablement, these will be some of the key activities in your day-to-day role:

Enable AI-assisted software delivery across the full lifecycle, from ideation and discovery through requirements, design, development, testing, release, deployment, production support and post-release analysis.

Translate business ideas and product needs into structured delivery artifacts, including user stories, acceptance criteria, technical requirements, test scenarios, documentation, release notes and production-readiness evidence.

Identify friction points, repetitive work and quality gaps across the SDLC and turn them into practical AI-assisted workflows and automations.

Design, build, maintain and improve reusable AI skills, agents, prompts, workflows, templates and delivery accelerators for engineering teams.

Integrate AI capabilities with internal tools, documentation platforms, repositories, ticketing systems, CI/CD pipelines, quality platforms and enterprise knowledge bases.

Apply software engineering practices to ensure AI solutions are robust, reusable, scalable, auditable, observable, secure and maintainable.

Define practical guardrails and validation controls, partnering with Security, Risk, Compliance, Architecture and Governance teams to support safe and responsible AI adoption.

Measure adoption and business impact through improvements such as reduced manual effort and cycle time, stronger documentation and test coverage, better traceability, fewer delivery issues and improved developer experience.

WHAT WE’RE LOOKING FOR

We are in search of an AI Engineer – Software Delivery Enablement to join our team in Madrid, with the following qualifications and background:

Professional Experience

Strong background in software engineering, SDLC practices, DevOps, QA, platform engineering or engineering productivity. (Required)

Hands-on experience designing or implementing AI-based solutions using LLMs, prompt engineering, agents, RAG, workflow automation or developer productivity tools. (Required)

Solid understanding of end-to-end software delivery, including Agile delivery, backlog refinement, requirements management, development, testing, CI/CD, release management and production support. (Required)

Experience creating reusable AI skills, prompts, agents, templates, automations or delivery accelerators, and integrating them with APIs, repositories, CI/CD pipelines, ticketing systems, documentation platforms or internal tools. (Required)

Experience working in large enterprise or regulated environments, building internal developer platforms, engineering enablement capabilities or productivity accelerators. (Preferred)

Education

Education requirements to be confirmed. (Required)

Professional certifications in AI, software engineering, cloud technologies or Agile/Scrum are not specified in the source material. (Preferred)

Languages

Language requirements to be confirmed. (Required)

Additional language requirements are not specified in the source material. (Preferred)

Hard Skills

LLMs, prompt engineering, AI agents, RAG architectures, workflow automation and model evaluation techniques. (Required)

Programming or scripting with Python, JavaScript, TypeScript, Java or a similar language. (Required)

API integration with repositories, CI/CD pipelines, ticketing systems, documentation platforms, internal tools and enterprise AI services. (Required)

Software engineering practices covering version control, testing, documentation, monitoring, observability, secure coding and maintainability. (Required)

Software quality, traceability, testing strategies, delivery governance and the ability to define metrics for AI adoption and workflow impact. (Required)

Embeddings, vector databases, AI observability, prompt and model evaluation, hallucination mitigation and human-in-the-loop validation. (Preferred)

Tools such as GitHub, GitLab, Bitbucket, Jira, Confluence, Jenkins, Azure DevOps, SonarQube, QTest, ServiceNow or similar. (Preferred)

Enterprise architecture standards, delivery frameworks and technology governance models. (Preferred)

Soft Skills

Analytical thinking and structured problem-solving. (Required)

Clear communication with technical and non-technical stakeholders. (Required)

Cross-functional collaboration and stakeholder management. (Required)

Pragmatic, outcome-oriented mindset focused on measurable improvements. (Required)

Ownership and accountability for solution quality. (Required)

Ability to enable adoption and facilitate change across multidisciplinary teams. (Preferred)

Continuous improvement and learning agility. (Preferred)

Getnet Platforms 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.

OUR OFFER AND BENEFITS

By joining our team, you will enjoy multiple benefits, such as:

We care for your well-being, so you will have health insurance, life insurance, dental insurance, annual health care, and access to Wellhub.

We promote flexibility with a hybrid and collaborative model; the selected candidate must be ready to work 60% on-site.

We aim to boost your growth with access to self-development programs.

We aim to make your workdays more accessible, so you will have transportation allowance and meal voucher/food voucher.

Getnet Platforms is part of Santander Group, one of the world’s leading financial groups, with a presence in more than 22 countries.