AI Engineer: Scalable GCP AI Apps & Backend

Ethereum Technologies; Weehawken (NJ); On-site; USD 95,000 - 136,000; Full time

Job summary

Ethereum Technologies in Weehawken, NJ is seeking an AI Engineer to design, develop, and deploy scalable AI applications on Google Cloud Platform (GCP). You will work with cutting-edge services like Cloud Run, Cloud Scheduler, and Secrets Manager to deliver robust, secure deployments and high performance.

The role involves building backend APIs in Python with FastAPI/Flask, collaborating with data scientists and PMs, and contributing to Capgemini's AI Ops framework.

Qualifications

• Developing and deploying scalable, production-grade AI applications on Google Cloud Platform (GCP).
• Building and maintaining backend services and APIs using Python with FastAPI and Flask.
• Collaborating with data scientists, architects, and program managers to translate AI requirements into scalable technical solutions within an AI Ops delivery framework.

Responsibilities

• Developing and deploying scalable, production-grade AI applications on Google Cloud Platform (GCP).
• 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.

Skills

Python

API development

Cloud platforms

Collaboration

AI/ML concepts

Tools

FastAPI

Flask

Google Cloud Platform

Job description

Ethereum Technologies in Weehawken, NJ is seeking an AI Engineer to design, develop, and deploy scalable AI applications on Google Cloud Platform (GCP). You will work with cutting-edge services like Cloud Run, Cloud Scheduler, and Secrets Manager to deliver robust, secure deployments and high performance.

The role involves building backend APIs in Python with FastAPI/Flask, collaborating with data scientists and PMs, and contributing to Capgemini's AI Ops framework.