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 strong 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
- Strong 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.