AI Engineer (Agentic AI / AI Ops)

Quick Facts

• Role: AI Engineer (Agentic AI / AI Ops)
• Type: W2 Contract
• Location: Remote
• Duration: 10 months
• Bill Rate: $75/Hr on W2

Description

As an Agentic AI Developer – AI Ops, you will design, develop, and deploy agentic AI and conversational AI solutions using Google Cloud’s ecosystem. You will build autonomous agents with Google GECX Platform and DialogFlow AI, and deliver scalable, production-grade AI applications using core Google Cloud services. You will also develop backend services and APIs in Python and help improve AI Ops delivery standards.

Responsibilities

• Design and develop agentic AI and conversational AI solutions using Google GECX Platform and DialogFlow AI
• Build scalable, production-grade AI applications on Google Cloud Platform using Cloud Run, Cloud Scheduler, and Secrets Manager
• Develop and maintain backend services and APIs using Python with FastAPI and Flask
• Integrate AI components with cloud infrastructure and client systems
• Collaborate with data scientists, architects, and program managers to translate AI requirements into technical solutions
• Continuously evaluate and adopt emerging Google Cloud AI/ML and agentic AI capabilities

Requirements

• 8+ years of experience in software or AI development
• Deep hands-on expertise with Google Cloud Platform (Cloud Run, Cloud Scheduler, Secrets Manager)
• Proficiency with Google GECX Platform and DialogFlow AI
• Strong Python skills for RESTful APIs and microservices
• Production experience with FastAPI and Flask
• Solid understanding of AI Ops (deployment, monitoring, automation, lifecycle management) and end-to-end AI pipeline design on Google Cloud
• Ability to communicate complex technical concepts to technical and non-technical stakeholders
• US work authorization: US-Citizen, H-1B, OPT-EAD, or GC-EAD

Benefits

Equal opportunity employer.