Description

You will build and maintain full-stack applications integrating Agentic AI and cloud-native services.

Responsibilities

• Develop microservices using RESTful APIs and GraphQL.
• Implement AI/ML lifecycles using GCP native tools and MLOps principles.
• Build Agentic AI workflows using prompt engineering, context management, and embedding techniques.
• Deploy and manage scalable applications on Google Cloud Platform.
• Integrate front-end components using frameworks like Angular or React.

Required Skills

• 12+ years of professional programming experience in Python, Ruby, Go, Swift, or Java.
• Deep expertise in Google Cloud Platform (GCP) tools including BigQuery, CloudStorage, Dataflow, GKE, Cloud Run, PubSub, and VertexAI.
• Hands-on experience with TensorFlow, PyTorch, and BigQuery ML.
• Practical knowledge of Generative AI, LLMs on GCP, and Agentic AI frameworks such as Google ADK, Model Context Protocol (MCP), or LangGraph.
• Proficiency with Python libraries for Agentic AI development.
• Solid understanding of cloud DevOps and microservices architecture.
• Experience with front-end development using Angular or React.
• Bachelor's degree in a relevant field.

Preferred Skills

• Experience with MLOps tools and embedding techniques.

Key Skills

Education

Bachelor's degree