Role: GenAI Developer-Agentic Duration: 12 Month Location: Denver, CO (Hybrid Onsite)
Job Description:
Design, develop, and maintain Agentic AI workflows and intelligent agents using Python in cloud-native (Google Cloud Platform) environments.
Build and integrate Generative AI solutions using Retrieval Augmented Generation (RAG), LLM orchestration, and agent-based design patterns.
Consume and integrate RESTful APIs using OpenAPI/Swagger specifications to enable seamless interaction between AI services and enterprise systems.
Develop and enhance conversational AI solutions using Dialogflow CX, including intent design, entity modeling, and fulfillment logic.
Deploy, manage, and optimize AI workloads on Google Cloud Platform (Google Cloud Platform), leveraging cloud services for scalability and performance.
Write and optimize SQL queries to support data retrieval, validation, and analytics for AI/ML applications.
Implement and maintain CI/CD pipelines using GitLab, supporting automated build, test, and deployment of AI services.
Support testing, debugging, monitoring, and performance optimization of AI/ML and LLM-based applications across development and production environments