Google Cloud AI Engineer
NebulaiAbout the role
Ship on Vertex and Gemini—and care about the boring parts that keep it running.
Via Nebulai marketplace contracts, you help client teams build and harden AI features on GCP: Vertex AI model APIs, RAG/search grounding, pipelines, Cloud Run services, and monitoring. Deliver outcomes inside their org as Nebulai talent experienced with Google Cloud AI—not as a Google staff engineer post. Production over pilot.
Strong fit if you:
- Have production experience with Vertex AI, Gemini, or related GCP ML services
- Write solid Python and know Cloud Run, GKE, or similar serving paths
- Care about evals, cost, IAM, and how data moves through BigQuery and storage
- Collaborate easily with platform and product in enterprise settings
Bonus if you’ve:
- Built Vertex AI Search / Vector Search grounded apps
- Used Vertex Pipelines or orchestration for training/eval
- Helped an AI platform or CoE team set GCP patterns
Apply at https://nebulai.app
Responsibilities
- Help client teams build and harden AI features on GCP
- Deliver outcomes inside client organizations as Nebulai talent
- Work with Vertex AI model APIs, RAG/search grounding, and pipelines
Qualifications
- Production experience with Vertex AI, Gemini, or related GCP ML services
- Solid Python programming skills
- Knowledge of Cloud Run, GKE, or similar serving paths
- Ability to collaborate in enterprise settings
Skills mentioned
About Nebulai
Nebulai is the first Intelligent Solutions and Talent Marketplace in the world. At the forefront of the AI revolution, Nebulai unveils the Intelligent Solutions and Talent Marketplace (ISTM) - a groundbreaking platform where AI innovation meets human talent. It's more than just a marketplace; it's a dynamic arena where businesses and visionary individuals converge to create in an AI-enriched world.