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.

- Strong analytical, problem-solving, and debugging capabilities.

- Excellent communication, stakeholder management, and collaboration skills.

- Ability to work effectively in an agile and fast-paced workplace.

Good 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