Name	Description	Retention Period
_mg	This cookie used for the user's authentication.	Session
savedjobs	This cookie stores the job offers selected as favourites by the visitor.	Session
allowedCookie	This cookie stores whether a decision has already been made to use cookies or not.	Session
allowedUserCookieCategories	This cookie stores the consent given by the visitor to the use of cookies and to the integration of third-party content (see below for selection) for current session.	Session
ASP.NET_SessionId	This cookie stores the visitors session state to ensure smooth communication between server and client.	Session
lang	This cookie stores the language chosen by the visitor for the duration of the session.	Session
sxa_site	This cookie stores the name of the site	Session
theme	This cookie stores the theme value	Session
__RequestVerificationToken	This cookie stores the visitors request verification token to ensure smooth communication between server and client.	Session

Name	Description	Retention Period
savedjobsfuture	This cookie stores the job offers selected as favourites selected by the visitor for future sessions, in case preference cookies were accepted.	30 days
consentfuture	This cookie stores the consent given by the visitor to the use of cookies and to the integration of third-party content (see below for selection) for future sessions.	390 days
langfuture	This cookie stores the language selected by the visitor for future sessions, in case preference cookies were accepted.	390 days
themefuture	This cookie stores the theme selected by the visitor for future sessions, in case preference cookies were accepted.	390 days

Name	Description	Retention Period
_ga	This cookie is used to distinguish users. We use the web analysis service Google Analytics of Google LLC (1600 Amphitheatre Parkway, Mountain View, CA 94043, USA; "Google") on our website. For details, please refer to the cookie policy of Google Analytics	2 Years
_ga_property-id	This cookie is used to persist session state. We use the web analysis service Google Analytics of Google LLC (1600 Amphitheatre Parkway, Mountain View, CA 94043, USA; "Google") on our website. For details, please refer to the cookie policy of Google Analytics	2 Years

Name	Description	Retention Period
YouTube	The YouTube videos embedded on these pages use a number of cookies for display. For details, please refer to the privacy policy of Google.	For details, please refer to the privacy policy of the service provider mentioned in the description.
Google Maps	The Google Maps content embedded on these pages use a number of cookies for display. For details, please refer to the privacy policy of Google.	For details, please refer to the privacy policy of the service provider mentioned in the description.
starred	The Starred feedback form offered on the career pages does not use cookies. For further information, see Starred's privacy policy.	None – for further information, please refer to Starred's privacy policy.

AI Engineer

Key Facts

Professionals
Professionals
Information Technology
Information Technology
Full time
Full time
Pune, Maharashtra, India
Pune, Maharashtra, India

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

5+ 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.