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Capgemini
The Generative AI Developer will design, build, and deploy next-generation Agentic and Generative AI solutions on Google Cloud Platform, leveraging Vertex AI, Gemini models, A2A patterns, and cloud-native GenAI capabilities. The role involves translating business requirements into scalable, production-ready AI applications using Google’s latest GenAI ecosystem
· Design & Implement Generative + Agentic AI Solutions Architect and implement solutions using Google’s agentic patterns, including A2A (Agent-to-Agent coordination), tool-augmented agents, and workflow orchestration.
· Hands-On with Vertex AI & Gemini Models Build applications using Vertex AI, Gemini, Vertex AI Studio, Codey, and relevant APIs to deliver high-performing GenAI capabilities.
· Develop AI Workflows & Applications Create Python-based applications and workflows that integrate Generative AI models into enterprise systems and Implement GenAI Design Patterns & Best Practices Apply GenAI architectural patterns such as retrieval-augmented generation, grounding, safety layers, structured prompting, tool use, and agent orchestration following Google-recommended best practices.
Required Skills & Experience
· Strong proficiency in Python for AI/ML development.
· Hands-on experience with Vertex AI, Gemini models, and Google’s Generative AI tooling.
· Expertise in deep learning frameworks (TensorFlow/PyTorch/JAX).
· Experience building and scaling cloud-native ML pipelines and APIs on GCP.
· We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance.
· At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities.
· Equip yourself with valuable certifications in the latest technologies such as Generative AI.
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