Agentic AI Engineer (Google ADK)
Core
Design, build, and scale production-ready Multi-Agent Systems (MAS) and complex AI workflows using Google ADK to bridge simple LLM prompting with enterprise-scale software engineering.
Role type
Senior IC Agentic AI Engineer (Google ADK)
Builds
High-throughput, mission-critical business systems deployed on Agent Engine
Domain
Enterprise AI / Multi-Agent Systems / Google Cloud Platform
Deliverable
production ML models
Required skills
Multi-agent orchestration, deterministic graph workflows, Google ADK, GCP ecosystem, Python or TypeScript/Node.js, CI/CD pipelines, AI evaluation frameworks
Preferred skills
Model Context Protocol (MCP), Google Maps MCP integration, Terraform, GitHub Actions, Gemini models optimization
Technologies
Google ADK, Agent Engine, Cloud Run, Vertex AI, Secret Manager, Cloud Storage, Python, TypeScript, Node.js, uv, pip, Terraform, GitHub Actions
Responsibilities
Architect multi-agent systems (Sequential Pipelines, Parallel Fan-out/Gather, Loop-based self-correction); Develop core agentic logic with deterministic graph workflows; Integrate custom Agent Skills and third-party tools; Evaluate and debug agent execution trajectories; Scale and deploy agents to Agent Engine; Collaborate with product managers and AI researchers on Gemini model implementation
Seniority
Senior, hands-on IC
