ML/AI Lead GenAI | Python | GCP | Vertex AI | Gemini | ADK
Experience
612 years overall experience
4+ years AI/ML experience
2+ years GenAI experience
Role Overview
We are looking for a highly hands-on ML/AI Lead with solid experience in Python, Google Cloud Platform, Generative AI, RAG and AI Agent development.
The ideal candidate should have practical experience building and deploying production-grade AI/GenAI applications using GCP, Vertex AI, Gemini and preferably Google's Agent Development Kit (ADK).
This is a hands-on engineering role. The candidate should be actively involved in coding, solution development, technical design, debugging and production troubleshooting.
Candidates with only high-level architecture, consulting or delivery management experience will not be suitable.
Mandatory Skills
6–12 years of overall software/technology experience
4+ years of hands-on AI/ML experience
2+ years of hands-on Generative AI / LLM experience
Strong hands-on Python development
Strong hands-on experience with Google Cloud Platform (GCP)
Experience with Vertex AI
Hands-on experience with Gemini models
Robust understanding of RAG / Retrieval-Augmented Generation
Experience developing and deploying AI Agents / Agentic AI solutions
Strong understanding of REST APIs and FastAPI
Experience with production deployment, monitoring and troubleshooting
Robust understanding of cloud security, authentication and IAM
Google Cloud Experience
Candidates should have hands-on experience with relevant GCP services such as:
Vertex AI
Vertex AI Endpoints
Vertex AI Agent Builder
Vertex AI Search
BigQuery
Cloud Storage
Cloud Run
Cloud Functions
IAM
Cloud Logging
Cloud Monitoring
Secret Manager
Artifact Registry
Candidates should be able to explain how they have handled deployment, scaling, monitoring, authentication, security and production troubleshooting on GCP.