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

Professional & 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