Consultant - Python Developer with Gen AI using GCP
Summary
This role focuses on enabling Google’s Gemini Enterprise and NotebookLM for clients, designing AI agents, and integrating AI solutions while coordinating with technical and stakeholder teams. Core work involves Python-based API development, LLM integration, and optimizing AI agent performance on Google Cloud Platform.
The role is responsible for driving end‑to‑end success of the Gemini Enterprise / NotebookLM enablement workstream, ensuring project objectives, timelines, and quality standards are achieved. Acts as the primary point of coordination between client stakeholders and technical teams while providing expert-level guidance on AI agent design, platform enablement, and integration considerations. This role might require to work from KPMG/Client office for 5 days a week.
Mandatory Skills
Overall experience upto 5+ years using Python with API development and 2+ years of experience in integrating LLM
Hands-on experience using Google Vertex AI and Google ADK to design, test and configure AI Agents
Hands-on experience in configuring, enabling and validating Gemini Enterprise features across environments
Troubleshoot and resolve application issues, optimize performance and ensuring reliability
Experience in deploying NotebookLM based capabilities and managing source integrations
Experience in designing system prompts, user prompts and guardrails across the agents
Evaluation and tuning of prompts for optimal responses
Stakeholder management skills across functions
Good to Have Skills
- Experience in containerizing the application and hosting on Kubernetes
- Exposure to enterprise systems like Workday/ServiceNow/SharePoint/Google Drive/Sphere
- Experience in setting up data pipelines for model training and real-time inference
- Awareness of IAM roles, permissions, and policies related to Gemini Enterprise deployment.
- Hands-on experience in configuring, enabling and validating Gemini Enterprise features across environments
B. TECH/BE or higher