Agentic AI Engineer (Google ADK)
On-siteManila, Metro Manila, Philippines
Job Summary
Architect multi-agent systems using Google ADK by designing sequential pipelines, parallel fan-out/gather structures, and loop-based self-correction workflows. Build deterministic graph workflows that integrate adaptive AI reasoning with explicit execution paths, then create and map custom Agent Skills alongside third-party tools like Google Maps MCP and enterprise APIs. Evaluate execution trajectories and debug production hallucinations using ADK tools before deploying optimized agents to the Agent Engine via Cloud Run or Google Cloud Platform. Collaborate with product managers and AI researchers to optimize Gemini models within agentic frameworks.
Required Qualifications
- 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
Desired Qualifications
- 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
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