Senior Engineer AI SDLC Enablement (All Genders)

Zooplus SE

Not Interested
Bookmark
Report This Job

profile Job Location:

Madrid - Spain

profile Monthly Salary: Not Disclosed
Posted on: 7 hours ago
Vacancies: 1 Vacancy

Job Summary

The Senior AI Engineer is responsible for embedding AI capabilities across the software development lifecycle (SDLC) to improve engineering productivity delivery quality and automation. The role focuses on building intelligent developer workflows using Model Context Protocol (MCP) context engineering LLM orchestration and AI-driven tooling.

Key Responsibilities

  • Design and implement AI-driven SDLC accelerators such as code generation review automation smart testing and documentation support.

  • Develop MCP-based extensions and context-aware tools to streamline developer workflows.

  • Apply context engineering to improve LLM reasoning accuracy and relevance across engineering use cases.

  • Build LLM-integrated CI/CD workflows for pull request analysis test automation and deployment support.

  • Collaborate with engineering platform and product teams to identify and scale AI adoption opportunities.


Qualifications :

Required Qualifications

  • Tech-agnostic mindset with strong programming experience in one or more of the following languages: Java Python JavaScript or Kotlin or broad working knowledge across multiple of these languages.

  • Hands-on experience integrating LLMs into engineering or product workflows.

  • Good understanding of RAG embeddings and vector databases.

  • Experience with Docker Kubernetes and Terraform.

  • Experience with intelligent test automation and CI/CD pipelines.

Core Competencies

  • MCP Engineering building modular context-aware AI tooling

  • Context Engineering structuring inputs for reliable AI reasoning

  • AI-Augmented Architecture integrating AI into engineering systems

  • Product Thinking identifying high-value GenAI use cases


Additional Information :

Headquartered in Munich with offices across Madrid Krakow Wroclaw London and Vienna we collaborate because we genuinely love working together - so youll be at the heart of an incredible multinational team. We trust each other to get the job done which means youll benefit from hybrid working spending 60% of your time in the office and 40% at home. Theres an option to work for 20 days abroad in approved countries too.

Add to that development opportunities that help you to shape your own career path excellent training and support wellbeing offers subsidised transport or bike leasing plus 20% discount across all our products and youll begin to get a sense of what sets us apart. Find out more about the specific benefits at your local office in our blog posts.

At zooplus we believe in equal opportunity and support everyone to fulfil their potential. We recognise the power of listening and learning from each other and embrace diversity and inclusion of all.

#LI-Hybrid

28 Annual Vacation Days
Private Medical Health Insurance
Hybrid working model (up to 40%Home Office per month)

 

zooplus is committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members.


Remote Work :

No


Employment Type :

Full-time

The Senior AI Engineer is responsible for embedding AI capabilities across the software development lifecycle (SDLC) to improve engineering productivity delivery quality and automation. The role focuses on building intelligent developer workflows using Model Context Protocol (MCP) context engineerin...
View more view more

Key Skills

  • APIs
  • C/C++
  • Computer Graphics
  • Go
  • React
  • Redux
  • Node.js
  • AWS
  • Library Services
  • Assembly
  • GraphQL
  • High Voltage

About Company

More than 20 years ago, zooplus was one of the first to bring the pet category into the world of eCommerce. Today, we stand strong as Europe’s leading online pet platform, delivering moments of happiness to more than 9 million pet parents each year. We're on a mission to create joy f ... View more

View Profile View Profile