AI Engineer

Robotics Technologies LLC; Weehawken (NJ); Presencial; USD 98.000 - 134.000; Jornada completa

Descripción de la vacante

Robotics Technologies LLC in New Jersey is seeking an AI Engineer to design, deploy, and scale production AI applications on Google Cloud Platform. You will leverage Cloud Run, Cloud Scheduler, and Secrets Manager to ensure secure and reliable deployments.

You will build backend services and APIs in Python using FastAPI and Flask, and work closely with data scientists, architects, and program managers to translate complex AI requirements into practical solutions within an AI Ops delivery

Formación

• Proficiency in building AI applications on GCP.
• Strong Python development experience.
• Experience with AI Ops or ML deployment pipelines.

Responsabilidades

• Develop and deploy scalable, production-grade AI applications on GCP.
• Build backend services and APIs with Python frameworks (FastAPI, Flask).
• Collaborate with cross-functional teams to translate AI requirements into scalable solutions.
• Evaluate and adopt new GCP AI/ML services and contribute to internal best practices.

Conocimientos

Python

AI/ML

Cloud (GCP)

Herramientas

FastAPI

Flask

Google Cloud Platform

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.