Artificial Intelligence Engineer

Job Title:

AI Engineer Role type:

Full-time/Permanent Location: 100% Remote

Job Description: An AI Engineer unlocks the potential of AI for the full organization. Rapidly delivers business-driven AI solutions by integrating existing cloud models and APIs, rather than inventing new algorithms. An AI Engineer builds digital agents and engineers the future of smart wholesale by delivering pragmatic, secure, maintainable, and observable AI-powered solutions that drive business value. Curious to get more information about the team, the products, or the tech stack?

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 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, and 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.

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).