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Agentic AI Engineer (Google ADK)

Philippines
  • Remote job
As an Agentic AI Engineer specializing in Google’s Agent Development Kit (ADK), you will design, build, and scale production-ready Multi-Agent Systems (MAS) and complex AI workflows. You will bridge the gap between simple LLM prompting and robust, deterministic, enterprise-scale software engineering. In this role, you will leverage ADK to orchestrate specialized micro-agents, build reliable graph-based workflows, and integrate AI agents seamlessly with enterprise datastores, APIs, and Model Context Protocol (MCP) tools. You will be responsible for moving AI from conceptual prototypes to high-throughput, mission-critical business systems deployed on Agent Engine. This is a permanent remote position, requiring availability to work during US business hours and collaborate with globally distributed teams and stakeholders. What You'll Be Doing
  • Architect Multi-Agent Systems: Design and implement structured multi-agent architectures (Sequential Pipelines, Parallel Fan-out/Gather, and Loop-based self-correction) using Google ADK.

  • Develop Core Agentic Logic: Build deterministic graph workflows that effectively weave adaptive AI reasoning with explicit execution paths to ensure predictable outcomes.

  • Tool & Skill Integration: Create, map, and integrate custom Agent Skills and third-party tools (including Google Maps MCP, Search tools, and custom enterprise APIs).

  • Evaluation & Debugging: Use ADK evaluation tools to test execution trajectories, manage loop limits, avoid key collisions, and drastically mitigate production hallucinations.

  • Scale and Deploy: Deploy optimized agents to Agent Engine (via Cloud Run / Google Cloud Platform) and maintain high availability, security, and low latency.

  • Collaborate across Ecosystems: Work alongside product managers and core AI researchers to optimize the implementation of Gemini models ($Gemini\ 2.5\ Flash$, Pro, etc.) within agentic frameworks.

What You'll Bring to the Role
  • Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience.

  • 2+ years of experience building and deploying production-grade LLM applications or Agentic AI systems.

  • Strong proficiency in at least one primary language supported by ADK: Python (e.g., managing virtual environments using uv or pip) or TypeScript/Node.js.

  • Experience with the Google Cloud Platform (GCP) ecosystem, including Cloud Run, Vertex AI, Secret Manager, and Cloud Storage.

What Will Help You Succeed
  • Hands-on experience developing with the official open-source Google Agent Development Kit (ADK 2.0+).

  • Deep understanding of multi-agent orchestration patterns, state graph architectures, and deterministic routing.

  • Familiarity with Model Context Protocol (MCP) and integrating external tools seamlessly into LLM context windows.

  • Experience implementing rigorous CI/CD pipelines for AI applications (e.g., GitHub Actions, Terraform).

  • Strong background in evaluation frameworks for AI agents to benchmark precision, recall, and tool-calling accuracy.

Vacancy posted 19 hours ago
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