Agentic AI Engineer (Agent Development & GCP)

Job Summary

Build and deploy next-generation AI Agents for enterprise-grade data platforms using modern LLM frameworks and GCP services. You will work on autonomous, context-aware AI systems focused on scalability, observability, and intelligent orchestration.

Responsibilities

• Design and develop production-ready AI Agents using Google ADK, LangGraph, or similar frameworks
• Build agents capable of multi-step reasoning and context-aware decision-making
• Integrate agents with enterprise tools and knowledge sources using MCP
• Develop and manage MCP servers including GCS and BigQuery integrations
• Integrate AI agents with GCP services such as Vertex AI, Cloud Run, and BigQuery
• Deploy and manage agents using Docker and CI/CD pipelines
• Implement evaluation frameworks for agent performance and benchmarking
• Design prompt engineering and RAG-based context management workflows
• Implement monitoring, logging, and observability for AI systems
• Collaborate with data engineers, ML engineers, and architects on scalable AI solutions

Requirements

• 4-8 years of experience with at least 1 year in AI Agent development
• Strong proficiency in Python for backend and AI development
• Hands-on experience with GCP services, especially GCS and BigQuery
• Strong understanding of LLM concepts, prompt engineering, and tool calling
• Experience building and evaluating AI/LLM-based systems
• Familiarity with MCP or similar integration frameworks
• Experience with REST APIs, JSON, and microservices architecture
• Hands-on experience with Docker, Cloud Run, and CI/CD pipelines

Key Skills

• Python
• Docker
• CI/CD
• Vertex AI
• BigQuery
• GCS
• Cloud Run
• MCP
• Prompt engineering

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.