AI Engineer

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Skills you'll use

What you'll do

• 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 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.

Who can apply

• Education:  Bachelor’s or Master’s degree in Computer Science, Software Engineering.
• Work Experience & Skills
• 7+ years of strong hands on experience.
• 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 (SQL & Python is a must).
• Knowledge of agentic development frameworks (e.g. Google Agent Development Kit).
• Proficient in using coding assistant tools, building POCs rapidly.
• Knowledge of BigQuery.

About METRO/MAKRO

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