Total 63 job vacancies in Viman Nagar, Pune

How you will make an impact? 

We are a dynamic and innovative team focused on delivering exceptional customer experiences through our Customer Facing Web Applications and APIs. Our product provides an onboarding process, signup functionality, and empowers customers to maintain their personal and business-related data effortlessly. Our platform is designed to be multi-tenant, highly scalable, and highly available, ensuring a seamless experience for our customer base. We leverage a tech stack comprising Fullstack Typescript, React, Express, and Google Cloud to achieve these goals. 

Your Responsibilities:  

• Being involved in all phases of software engineering, from inception to coding, testing, delivery and operation.
• Developing high quality code that follows best practices and clean code principles.
• Advocate for improvements to product quality, security and performance.
• Collaborating with other engineers or team members on various layers of the infrastructure, in order to design and launch new features.
• Interacting with the client in order to understand and characterize their needs and advise them if necessary. 

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.

How you will make an impact?  

As part of the FSD Ordering team, you will play a pivotal role in shaping the data landscape that supports product discovery and product decisions the team will take. You’ll help drive fast and informed decisions by delivering reliable, insightful, and actionable data products. Your work will directly influence the development and optimization of key frontend components such as the Shop Homepage, Search Results Page, Product Detail Page, and Customer Portal.  

The FSD Ordering team focuses on enhancing the digital shopping experience for both customers and employees. The team's goal is to provide the tools that enable FSD customers to order online what they need, whenever they need it in the Metro FSD eCommerce shop. 

The team is responsible for maintaining and evolving core features such as personalized lists, order history, banner management, and catalogue tools, while also supporting discovery and decision-making through robust dashboards and analytics. This includes stabilizing existing reporting infrastructure, enabling proactive insights and ensuring seamless integrations.  

Your Responsibilities:   

• Collaborate with central data experts and domain specialists to stabilize and evolve dashboards. 
• Build and maintain dashboards that surface business-critical metrics such as order behavior, banner engagement, and search trends. 
• Partner with Squad Leads to proactively discover new data use cases and drive initiatives that support product and operational goals. 
• Own the scheduling and reliability of queries and dashboards, ensuring consistent performance and data availability. 
• Act as a peer and data advisor to cross-functional teams, including senior leadership, product squads, and internal users. 
• Translate complex datasets into compelling narratives and visualizations that support decision-making and strategic planning. 
• Consolidate and provide customer data to M.SHOP teams, supporting both customer and employee login flows. 
• Promote data literacy and empower teams to use data effectively in their daily work.