AI Engineer: Scalable ML on GCP & API Backends

Valiant Technologies LLC; Weehawken (NJ); On-site; USD 98,000 - 134,000; Full time

Job summary

Capgemini is seeking an AI Engineer to develop and deploy scalable AI applications on Google Cloud Platform, using Cloud Run, Cloud Scheduler, and Secrets Manager to ensure robust deployments. You will build backend services and APIs in Python (FastAPI/Flask) and integrate AI components with cloud infrastructure and client systems.

You will collaborate with data scientists, architects, and program managers to translate complex AI requirements into scalable technical solutions within an AI Ops

Responsibilities

• Developing and deploying scalable, production-grade AI applications on Google Cloud Platform (GCP), utilizing services such as Cloud Run, Cloud Scheduler, and Secrets Manager to ensure robust, secure, and high-performance deployments
• Building and maintaining backend services and APIs using Python and modern frameworks including FastAPI and Flask, ensuring seamless integration between AI components, cloud infrastructure, and client systems
• Collaborating closely with cross-functional teams including data scientists, architects, and program managers to translate complex AI requirements into elegant, scalable technical solutions within an AI Ops delivery framework
• Continuously evaluating and adopting emerging GCP AI/ML services and Agentic AI capabilities, contributing to internal knowledge sharing, best practices, and the evolution of Capgemini's AI Ops delivery standards

Job description

Capgemini is seeking an AI Engineer to develop and deploy scalable AI applications on Google Cloud Platform, using Cloud Run, Cloud Scheduler, and Secrets Manager to ensure robust deployments. You will build backend services and APIs in Python (FastAPI/Flask) and integrate AI components with cloud infrastructure and client systems.

You will collaborate with data scientists, architects, and program managers to translate complex AI requirements into scalable technical solutions within an AI Ops