AI Engineer- AI & Automation platform

On-siteMidAI EngineerJust posted

✦Role summaryAI-generated

This AI Engineer will rapidly deliver business-driven AI solutions by integrating Google Cloud AI services and ML models into microservices, ensuring scalability and maintainability. The role also involves building CI/CD pipelines with Cloud Build and GitHub Actions, collaborating with DevOps and SRE teams, and maintaining comprehensive documentation and internal demos.

Skills required

GCP Machine learning CI/CD Github actions Cloud build Microservices Automation Python Docker Kubernetes AI DevOps BigQuery LLMs Azure Agentic AI

About this role

Your Responsibilities:   

Rapidly deliver business-driven AI solutions by integrating existing cloud models and APIs, focusing on practical implementation rather than developing new algorithms; 
Translate business goals into AI-powered solutions, ensuring technical feasibility through collaboration with squad leads, data scientists, architects, and full stack engineers; 
Integrate Google Cloud AI services and ML models into microservices and workflows to support scalable and maintainable solutions;
Design, implement, deploy, and monitor intelligent agents to support automation and personalization;
Build and maintain CI/CD pipelines using Cloud Build and GitHub Actions, collaborating closely with DevOps engineers and SREs for robust deployment and monitoring;
Maintain comprehensive documentation including API references, runbooks, architecture diagrams, and conduct internal demos and training sessions;
Ensure all AI solutions comply with METRO’s corporate policies on responsible AI and ethical standards.

Qualifications

Required key competencies and qualifications:  

Proven experience with Google Cloud Platform development (AI services/products such as Vertex AI, Document AI, BigQuery ML, Agent Development Framework); 
Strong knowledge of third-party LLMs (e.g. OpenAI, Anthropic, Gemini, Azure OpenAI), mastering prompt and context engineering; 
Strong knowledge of microservices architecture and several development patterns (API-driven development; event-driven or message-driven development); 
Proven experience with programming languages (Python is a must);  
Knowledge of agentic development (e.g. Google Agent Development Kit); 
Proficient in using coding assistant tools, building POCs rapidly; 
Knowledge of BigQuery;   
Knowledge of CI/CD pipelines, in the context of Google Cloud Platform;  
Team player, fast learner, with an “iterate quickly” mindset, keen on redefining how METRO works in the age of AI;  
Very good fluency in English (written and verbal).

Additional Information

What we offer at METRO.digital?  

Hybrid and agile work: thrive in a flexible, multicultural environment.

At METRO.digital, we promote work-life balance through a hybrid working model. You’ll be part of self-organizing, multicultural teams that collaborate in an agile setup. 

People development: when you grow so do we!

We want you to become the best version of yourself with individual and company-wide programs and trainings for people development. Focused among other on development, leadership, appreciation ... it´s time to upskill your career. 