Project Role : 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
Robust 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

15 years full time education

📌 Custom Software Engineer (India)
🏢 Accenture
📍 India