AI Engineer

Quantum Technologies. LLC; Weehawken (NJ); Presencial; USD 95.000 - 136.000; Jornada completa

Descripción de la vacante

Quantum Technologies. LLC is seeking an AI Engineer in Weehawken, NJ to develop and deploy scalable AI applications on Google Cloud Platform, using services like Cloud Run and Cloud Scheduler.

You will build Python back-end APIs with FastAPI/Flask and collaborate with data scientists and architects within an AI Ops delivery framework. The role emphasizes evaluating new GCP AI/ML capabilities and contributing to best practices and deployment standards.

Formación

• Develop scalable, production-grade AI applications on Google Cloud Platform (GCP) leveraging Cloud Run, Cloud Scheduler and Secrets Manager.
• Build and maintain backend services/APIs using Python with FastAPI/Flask, integrating AI components with cloud infrastructure.
• Collaborate with data scientists, architects, and program managers to translate AI requirements into scalable technical solutions within an AI Ops delivery framework.

Responsabilidades

• Develop and deploy AI applications on Google Cloud Platform (GCP).
• Build backend services and APIs in Python using FastAPI and Flask.
• Collaborate with cross-functional teams to translate AI requirements into scalable solutions.
• Evaluate and adopt emerging GCP AI/ML services and contribute to AI Ops standards.

Conocimientos

Python

FastAPI

Flask

GCP

Cloud Run

Cloud Scheduler

Secrets Manager

APIs

AI/ML

Collaboration

Descripción del empleo

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Title: AI Engineer
Location: Weehawken, NJ
Duration: 12 Months + Extension
Bill Rate: $84/hour (C2C)
Job Type: W-2, 1099, C2C
Client: To Be Discussed Later
Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Description:

• 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

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.