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CHTR - AI Engineer - B2 - Agentic AI

CapgeminiDenver, CO

Denver, CO, United States (On-site)

Contract (4 months 15 days)

Published 12 hours ago

Cloud Deployment

programming skills

microservices architecture

Google Cloud Platform (GCP)

Cloud Integration

restful api

Collaboration & Communication

As an Agentic AI Developer – AI Ops, you will be responsible for designing, developing, and deploying cutting-edge AI solutions leveraging Google Cloud's ecosystem. In this role you will play a key role in:

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Designing and developing Agentic AI and Conversational AI solutions using Google GECX Platform and DialogFlow AI, building intelligent autonomous agents that deliver measurable business value for clients

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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

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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

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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

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Continuously evaluating and adopting emerging GCP AI/ML services and Agentic AI capabilities, contributing to internal knowledge sharing, best practices, and the evolution of company's AI Ops delivery standards

We are looking for a passionate and skilled AI Developer who thrives at the intersection of cutting-edge AI and cloud engineering. The ideal candidate will have:

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7+ years of experience in software or AI development, with a strong portfolio of delivered solutions leveraging Agentic AI, Conversational AI, or NLP-based technologies on cloud platforms

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Deep hands-on expertise with Google Cloud Platform (GCP), including practical experience with Cloud Run, Cloud Scheduler, and Secrets Manager, as well as proficiency with Google GECX Platform and DialogFlow AI

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Strong programming skills in Python, with proven experience building and deploying RESTful APIs and microservices using frameworks such as FastAPI and Flask in production environments

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Solid understanding of AI Ops principles, including model deployment, monitoring, automation, and lifecycle management, with the ability to design end-to-end AI pipelines on GCP

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Excellent problem-solving skills and a collaborative mindset, with the ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders across global teams

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GCP, Google GECX, Agentic AI, Python

The pay range that the employer in good faith reasonably expects to pay for this position is $30.05/hour - $46.95/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

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