Custom Software Engineer

Project Role Description : Design, build and configure applications to meet business process and application requirements.

Must have skills : Google Cloud Machine Learning Services

Good to have skills : NA

Minimum 5 Year(s) Of Experience Is Required

Educational Qualification : 15 years full time education

Summary

As a GenAI & Agent Engineering Team Lead, you will be responsible for developing applications and systems that utilize Generative AI, Agentic patterns, and Google Cloud AI services. Your typical day will involve applying Google Agent Development Kit (ADK), Gemini models, and RAG-based retrieval to build intelligent, scalable, and production-ready AI agents.

This role is highly hands-on, with responsibility for guiding a small team, reviewing technical implementations, and ensuring high-quality delivery of agent-based solutions.

Roles & Responsibilities

Design and develop agent-based GenAI applications and systems using Google ADK

Implement AI agents and agent workflows, including task-based agents, tool-enabled agents, and basic multi-agent interactions

Develop and integrate RAG pipelines, including data ingestion, chunking, embedding generation, and context retrieval

Assist in Graph RAG components using knowledge graphs under architect guidance

Apply Gemini and Vertex AI models as part of GenAI solutions

Work with Vertex AI Machine Learning services for embeddings, inference, and evaluation

Integrate agents with enterprise systems, APIs, and tools

Apply prompt engineering techniques to improve accuracy and grounding

Implement basic agent observability, including logs and execution traces

Ensure secure and reliable agent execution aligned to defined patterns

Document technical designs, agent flows, and integrations

Guide and review work of junior engineers, ensuring coding and prompt quality

Professional & Technical Skills

Must Have Skills

Hands-on experience with Google Agent Development Kit (ADK)

Strong understanding of Generative AI and Gemini models

Experience with RAG architectures and chunking strategies

Working knowledge of Vertex AI Machine Learning services

Prompt engineering and agent workflow design

Strong programming skills in Python (or Node.js)

Experience building production-quality cloud applications

Good To Have Skills

Understanding of Graph RAG or knowledge graph concepts

Familiarity with multi-agent or A2A concepts

Cloud data architecture on Google Cloud

Google Cloud certifications (ML / Architect)

Additional Information

7+ years of relevant experience

Proficient in Google Cloud Machine Learning Services, GenAI, and agent-based development

Strong foundation in computer science, AI/ML, or related fields