Packaged/SaaS Application Engineer Project Role : Packaged/SaaS Application Engineer Project Role Description : Configure and support packaged or SaaS applications to adapt features, manage releases, and ensure system stability. Use standard tools, APIs, and low-code platforms to align solutions with business needs while preserving compatibility and performance.

Must have skills : Google Cloud Platform Architecture Good to have skills : Python (Programming Language), Google BigQuery Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary As a Senior Software Engineer – GenAI & Agent Development, you will be responsible for developing applications and systems that utilize Generative AI, agent-based patterns, and Google Cloud AI services. Your typical day will involve applying Google Agent Development Kit (ADK), Gemini models, and RAG-based retrieval techniques as part of production-ready GenAI solutions. This role is highly hands-on and focused on building scalable, reliable, and well-grounded AI agents under the guidance of senior engineers and leads.

Roles &

Responsibilities Design and develop agent-based GenAI applications and systems using Google ADK Build and implement AI agents that integrate with Google Cloud AI services Develop and integrate RAG pipelines, including data ingestion, chunking, embedding generation,



and context retrieval Apply Gemini and Vertex AI models as part of GenAI solutions Work with Vertex AI Machine Learning services for embeddings and inference Integrate agents with backend services, APIs, and tools to fulfill user queries and actions Implement prompt templates and prompt chains for agent behavior Assist in developing Graph RAG components under guidance Debug and resolve grounding, retrieval, and response-quality issues Follow defined security and execution patterns for agents Document technical designs, workflows, and integration setup Write clean, maintainable, and production-quality code Work closely with L9/L8 team members to deliver end-to-end solutions Qualified & Technical Skills Must Have Skills Experience with Generative AI application development Understanding of RAG concepts and chunking strategies Familiarity with Vertex AI and Gemini models Strong programming skills in Python (or Node.js) Prompt engineering fundamentals Experience building cloud-based applications with production-quality standards Good To Have Skills Exposure to Google Agent Development Kit (ADK) Basic understanding of agent workflows or multi-step reasoning Familiarity with vector databases or embeddings Google Cloud Professional Machine Learning Services or Google Cloud Professional Architect certifications Additional Information 5 years of relevant experience Proficient in Google Cloud Machine Learning Services and GenAI fundamentals Strong educational background in computer science, engineering, or related fields

📌 Application Architect - Custom Software Solutions (Chennai)
🏢 Accenture India Private
📍 Chennai