Your Role
Design, develop, and deploy Generative AI solutions on Google Cloud Platform (GCP).
Build and manage AI/ML applications using Vertex AI, Vertex AI Pipelines, and Model Garden.
Develop scalable backend applications and APIs using Python frameworks such as Flask or Django.
Design, document, and maintain APIs in line with OpenAPI standards and best practices.
Collaborate with business and technical teams to translate requirements into AI-powered solutions.
Optimize application performance, troubleshoot issues, and ensure solution reliability.
Contribute to cloud-native architectures, automation initiatives, and deployment strategies.

Your Profile
5+ years of experience in software development with strong hands-on expertise in Python.
Strong understanding of Generative AI concepts, Large Language Models (LLMs), and AI application development.




Hands-on experience with Google Cloud Platform (GCP), especially Vertex AI, Vertex AI Pipelines, and Model Garden.
Proven experience in API development, integration, and documentation.
Familiarity with OpenAPI specifications and RESTful API design principles.
Robust analytical, problem-solving, and debugging capabilities.
Excellent communication, stakeholder management, and collaboration skills.
Ability to work effectively in an agile and fast-paced workplace.

Positive to Have
Experience with Docker and Kubernetes.
Knowledge of cloud infrastructure, CI/CD pipelines, and DevOps practices.
Exposure to MLOps, AI model deployment, and monitoring frameworks.

📌 Python Gen Ai Gcp Capgemini Bengaluru
🏢 Capgemini
📍 Bengaluru