CHTR - AI Engineer - B2 - Agentic AI

Denver, CO, United States (On-site)

Contract (4 months 15 days)

Published 6 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:

• 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
• 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 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:

• 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
• 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
• 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
• 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
• 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
• 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.

Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information.

In addition, job duties require access to secure and protected client information technology systems and related data security obligations.