01Overview
We are seeking a highly motivated Google Cloud Generative AI Engineer with 4-5 years of experience in designing, developing, and deploying AI-powered applications on Google Cloud Platform (GCP). The ideal candidate will have hands-on expertise in Google Agent Development Kit (ADK), Vertex AI, Gemini models, LLM integration, RAG architectures, and cloud-native application development. This role involves building scalable AI solutions, intelligent agents, and enterprise-grade GenAI applications that drive business innovation.
Key Responsibilities
Build and implement Generative AI applications leveraging Vertex AI, Gemini models, Agent Builder, and other Google AI servicesDesign, develop, and deploy AI agents and multi-agent systems using Google Agent Development Kit (ADK)Integrate AI agents with enterprise applications, APIs, databases, and third-party systemsDevelop orchestration workflows for autonomous, conversational, and task-driven AI agentsImplement Retrieval-Augmented Generation (RAG) solutions using vector databases and enterprise knowledge sourcesCollaborate with business stakeholders, architects, and product teams to gather requirements and translate them into scalable AI solutionsOptimize prompts, agent behavior, context management, and model performance to improve business outcomesEnsure adherence to security, compliance, governance, and responsible AI practicesMonitor, troubleshoot, and enhance production AI applications for performance, reliability, and scalabilityParticipate in architecture reviews and recommend best practices for AI/ML and cloud-native solutionsContribute to CI/CD pipelines, automation, and infrastructure deployment for AI workloads on GCPStay current with emerging GenAI technologies, frameworks, and Google Cloud innovations
Requirements
4- 8 years of experience in software engineering, cloud application development, or AI/ML solutionsHands-on experience with Google Cloud Platform (GCP) servicesStrong expertise in Vertex AI, Gemini models, Model Garden, and AI application deploymentExperience with Google ADK (Agent Development Kit) for building agentic AI systemsProficiency in Python and experience with REST APIs and microservicesExperience implementing RAG architectures, vector databases (Vertex AI Vector Search, Pinecone, Weaviate, ChromaDB, etc.), and semantic search solutionsUnderstanding of prompt engineering, LLM evaluation, and AI agent orchestrationExperience with cloud-native technologies including Cloud Run, GKE, Pub/Sub, Cloud Functions, BigQuery, and Cloud StorageKnowledge of CI/CD practices, Git, Docker, and KubernetesStrong analytical, problem-solving, and communication skills
Preferred Qualifications
Google Cloud certifications such as Professional Cloud Developer, Professional Cloud Architect, or Professional Machine Learning EngineerExperience with LangChain, LangGraph, CrewAI, or other agentic AI frameworksFamiliarity with enterprise integration patterns and API managementExperience implementing AI governance, observability, and monitoring frameworksUnderstanding of MLOps and LLMOps best practices
Benefits
Competitive compensation and benefits package:
Competitive salary and performance-based bonusesComprehensive benefits packageCareer development and training opportunitiesFlexible work arrangements (remote and/or office-based)Dynamic and inclusive work culture within a globally renowned groupPrivate Health InsurancePension PlanPaid Time OffTraining & Development
Note: Benefits differ based on employee level.
About Capgemini
Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 340,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group 22.5 billion in revenues in 2023.
https://www.capgemini.com/us-en/about-us/who-we-are/ .
