Note: The job is a remote job and is open to candidates in USA. Arkhya Tech. Inc. is seeking a GCP Engineer specializing in AI agent development to build and deploy production-grade autonomous and multi-agent systems on Google Cloud Platform. The role focuses on designing scalable cloud infrastructure, integrating AI agents and tools, implementing CI/CD and observability, and ensuring security, reliability, and performance.
Responsibilities
- Design, develop, and deploy autonomous and multi-agent systems using Google ADK, including tools, memory, orchestration, and agent workflows
- Architect and manage scalable, secure GCP infrastructure using GKE, Cloud Run, Compute Engine, Cloud Functions, Pub/Sub, BigQuery, and Vertex AI
- Build agent-to-agent (A2A) and agent-to-tool integrations, including function calling, RAG pipelines, APIs, and tool orchestration
- Deploy and manage AI agents using Vertex AI Agent Builder / Agent Engine and integrate Gemini models through Vertex AI
- Implement CI/CD and Infrastructure-as-Code using Cloud Build, GitHub Actions, Terraform, or similar technologies
- Establish monitoring, logging, tracing, and evaluation frameworks for AI agent performance and reliability
- Ensure solutions meet security, privacy, IAM, VPC Service Controls, and data governance requirements
- Optimize agent workloads for cost, latency, scalability, and reliability
- Develop clean, well-tested, production-ready Python code and maintain technical documentation
Skills
- · 4+ years of experience as a Cloud, Software, ML, or AI Engineer , with significant hands-on GCP experience
- · Practical experience building AI agents using Google ADK or comparable frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or Semantic Kernel
- · Strong proficiency in Python ; Java or Go experience is a plus
- · Strong knowledge of GCP services, cloud architecture, APIs, microservices, and event-driven systems
- · Experience with Terraform or Deployment Manager and CI/CD tooling
- · Experience with RAG, LLM applications, function calling, and agent orchestration
- · Strong debugging, performance tuning, and problem-solving skills
- · Experience with multi-agent orchestration , A2A protocols, and hierarchical/supervisor agents
- · Familiarity with Model Context Protocol (MCP) or similar tool-integration standards
- · Experience with LLM observability and evaluation, including tracing, hallucination detection, and AI evaluation metrics
- · Google Cloud certification such as Professional Cloud Architect, Professional ML Engineer, or Associate Cloud Engineer
- · Experience with enterprise workflow automation, chatbots, or conversational AI
- · Exposure to AWS or Azure
- · Experience working in telecom or large-scale B2C enterprise environments
Benefits
- Remote work arrangement
- Contract employment
Company Overview
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