The role involves designing, implementing, and developing systems based on GenAIOps, including the implementation of CI/CD practices and model monitoring.
The position requires working with tools such as Vertex AI, GKE, Cloud Functions, Cloud Run, AgentSpace, AgentEngine, and AI multi-agent architectures.
Requirements:
A background in system development using Python is required.
Experience with Google Cloud Platform (GCP) products, particularly GKE, Cloud Run, Cloud Functions, Vertex AI, ADK, AgentSpace, and AgentEngine is necessary.
Knowledge of CI/CD practices and tools such as GitLab CI, Jenkins, or similar is essential.
Familiarity with A2A vs MCP protocols, Retrieval-Augmented Generation (RAG), Responsible AI, LLMs, and AI frameworks (e.g., LangChain, LangGraph, CrewAI) is required.
Understanding of REST APIs and microservices is necessary.
Benefits:
The job offers opportunities to work with cutting-edge technologies in the field of generative AI.
Employees will gain experience in modern data architectures and practices in AI.
There is potential for professional growth and development through exposure to various tools and frameworks in the industry.