METRO/MAKRO

Wholesale food for HoReCa and traders

AI Engineer

AI Application EngineeringPosted on Nov 10

Full-timePune, Maharashtra, IndiaNo salary listedIn-person

About the Job

Requirements

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

Responsibilities

Rapidly deliver business-driven AI solutions by integrating existing cloud models and APIs, emphasizing practical implementation rather than developing new algorithms.
Translate business goals into AI-powered solutions and ensure technical feasibility by collaborating 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 that support automation and personalization.
Build and maintain continuous integration and continuous delivery pipelines using Cloud Build and GitHub Actions, collaborating with DevOps engineers and site reliability engineers on deployment and monitoring.
Maintain documentation, including API references, runbooks, and architecture diagrams, and conduct internal demos and training sessions.
Ensure AI solutions comply with corporate policies on responsible AI and ethical standards.

Job Description

Role Overview

An AI Engineer at METRO unlocks the potential of AI for 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?

Key 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, 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

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.
Knowledge of CI/CD pipelines, in the context of Google Cloud Platform.
Strong team player with a fast-learning, “iterate quickly” mindset, eager to help redefine how METRO operates in the age of AI.
Excellent English communication skills, both written and verbal.
Demonstrated problem-solving ability with a structured, process-oriented approach.

Qualifications

Additional Information

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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