Agentic AI Engineer – AI Ops

Job Title: Agentic AI Engineer – AI Ops

Location

Denver, CO

Job Summary

We are seeking an experienced Agentic AI Engineer – AI Ops to design, develop, and deploy advanced Agentic AI and Conversational AI solutions using Google Cloud Platform (GCP).

The ideal candidate will have strong hands-on experience with Google GECX Platform, Dialogflow AI, Python, and GCP services. The role involves building intelligent autonomous agents, developing scalable AI applications, and delivering production-grade solutions within an AI Ops environment.

Key Responsibilities

• Design and develop Agentic AI and Conversational AI solutions using Google GECX Platform and Dialogflow AI.
• Build intelligent autonomous agents that deliver measurable business value.
• Develop and deploy scalable, production-grade AI applications on Google Cloud Platform.
• Utilize GCP services such as Cloud Run, Cloud Scheduler, and Secrets Manager for secure and reliable deployments.
• Build and maintain backend services and RESTful APIs using Python, FastAPI, and Flask.
• Integrate AI components, cloud infrastructure, and client systems.
• Collaborate with data scientists, architects, and program managers to translate AI requirements into scalable technical solutions.
• Apply AI Ops principles, including model deployment, monitoring, automation, and lifecycle management.
• Design and maintain end-to-end AI pipelines on GCP.
• Evaluate emerging GCP AI/ML services and Agentic AI capabilities.
• Contribute to technical best practices and knowledge sharing.

Required Skills & Qualifications

• 7+ years of experience in software or AI development.
• Hands-on experience delivering Agentic AI, Conversational AI, or NLP-based solutions on cloud platforms.
• Strong expertise in Google Cloud Platform (GCP).
• Practical experience with:
• Google GECX Platform
• Dialogflow AI
• Cloud Run
• Cloud Scheduler
• Secrets Manager
• Strong Python programming skills.
• Experience developing and deploying RESTful APIs and microservices using FastAPI and Flask.
• Understanding of AI Ops principles, including model deployment, monitoring, automation, and lifecycle management.
• Ability to design end-to-end AI pipelines on GCP.
• Strong problem-solving, communication, and collaboration skills.
• Ability to work effectively with technical and non-technical stakeholders across global teams.

Key Technical Skills

GCP | Google GECX Platform | Agentic AI | Conversational AI | Dialogflow AI | Python | FastAPI | Flask | Cloud Run | Cloud Scheduler | Secrets Manager | AI Ops | NLP