Senior Full Stack Engineer – Google Cloud Platform, Gemini & AI Agents

Job Description
We are seeking an experienced Senior Full Stack Engineer with strong expertise in front-end and back-end development, Google Cloud Platform (Google Cloud Platform), and Generative AI technologies. The ideal candidate will design, develop, and deploy scalable applications integrated with AI agents using Google Gemini and Vertex AI.
Key Responsibilities:

• Design, develop, and maintain scalable full-stack applications using React or Angular and Java, Node.js, or Python.
• Build responsive, user-friendly front-end interfaces and robust back-end services and REST APIs.
• Develop and integrate AI-powered applications and intelligent agents using Google Gemini and Vertex AI.
• Leverage Google Cloud Platform services to build, deploy, and manage cloud-native applications.
• Integrate Large Language Models (LLMs) into enterprise applications to enable AI-driven workflows and automation.
• Collaborate with product managers, architects, and cross-functional teams to define technical requirements and deliver solutions.
• Implement secure coding practices, automated testing, CI/CD pipelines, and application monitoring.
• Troubleshoot performance issues and optimize application scalability, reliability, and maintainability.

Required Skills:

• Strong experience in full-stack application development.
• Front End: React.js or Angular, JavaScript/TypeScript, HTML5, and CSS3.
• Back End: Strong proficiency in at least one of Java, Node.js, or Python.
• Cloud: Hands-on experience with Google Cloud Platform (Google Cloud Platform).
• Generative AI: Experience with Google Gemini, Vertex AI, and LLM integration.
• Experience developing or integrating AI agents into applications.
• Strong understanding of REST APIs, microservices, and application architecture.
• Experience with Git, CI/CD pipelines, automated testing, and cloud deployments.
• Strong problem-solving, debugging, and communication skills.

Preferred Qualifications:

• Experience building agentic AI applications and AI-driven automation workflows.
• Knowledge of prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, and vector databases.
• Experience with Vertex AI Agent Builder, Gemini APIs, or related Google Cloud AI services.
• Familiarity with Docker, Kubernetes, and event-driven architectures.
• Experience implementing authentication, authorization, and secure API integrations.