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METRO/MAKRO

Wholesale food for HoReCa and traders

AI Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timePune, Maharashtra, IndiaNo salary listedHybrid

About the Job

Requirements

  • A Bachelor's or Master's degree in Computer Science or Software Engineering is required.
  • At least 7 years of strong hands-on experience is required.
  • Proven experience developing on Google Cloud Platform, including AI services and products such as Vertex AI, Document AI, BigQuery ML, and Agent Development Framework, is required.
  • Strong knowledge of third-party large language models, including OpenAI, Anthropic, Gemini, and Azure OpenAI, and proficiency in prompt and context engineering are required.
  • Strong knowledge of microservices architecture and development patterns, including API-driven and event-driven or message-driven development, is required.
  • Proven experience with SQL and Python is required.
  • Knowledge of agentic development frameworks, such as Google Agent Development Kit, is required.
  • Proficiency in using coding assistant tools and rapidly building proofs of concept is required.
  • Knowledge of BigQuery is required.
  • Knowledge of CI/CD pipelines in the context of Google Cloud Platform is required.
  • Excellent written and verbal English communication skills are required.
  • Demonstrated problem-solving ability with a structured, process-oriented approach is required.

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 and ensure 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 with DevOps engineers and site reliability engineers 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.

About the Company

METRO/MAKRO

Wholesale food for HoReCa and traders

METRO supplies food and related products to professionals, including hotels, restaurants, caterers (HoReCa) and independent traders, through large physical stores and a delivery network. Its product access combines in-store shopping with Food Service Distribution (FSD) and a digitally connected experience, plus METRO MARKETS, an international online marketplace for professional customers that has grown since 2019. The company’s approach extends across more than 30 countries and relies on a multichannel model to reach about 15 million customers, supported by a workforce of over 85,000 and a 2023/24 sales figure of €31 billion. METRO prioritizes sustainability and reports recognition from indices like MSCI, Sustainalytics and CDP. The goal is to meet professional customers’ needs with reliable, scale-enabled wholesale distribution and digital marketplaces that enable efficient purchasing while expanding international reach.

Company size
501-1,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Düsseldorf, Germany
Founded
1964

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