Agentic AI Engineer (Google ADK)

TTEC Digital
Manila
Workplace: RemoteFull timeFunction: Data Science & Machine LearningExperience: 2+ yearsEducation: bachelorsSkills: []

Design, build, and scale production-ready multi-agent systems using Google’s Agent Development Kit (ADK). You’ll orchestrate micro-agents with reliable graph-based workflows, integrate AI with enterprise APIs/datastores and Model Context Protocol (MCP) tools, and use ADK evaluation to debug and reduce hallucinations. Deploy optimized agents to Agent Engine via Cloud Run/GCP while collaborating with product managers and AI researchers to implement Gemini models in robust agentic frameworks.

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FursaFursa
TTEC Digital
TTEC Digital
1 month ago

Agentic AI Engineer (Google ADK)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live

Job Summary

Design, build, and scale production-ready multi-agent systems using Google’s Agent Development Kit (ADK). You’ll orchestrate micro-agents with reliable graph-based workflows, integrate AI with enterprise APIs/datastores and Model Context Protocol (MCP) tools, and use ADK evaluation to debug and reduce hallucinations. Deploy optimized agents to Agent Engine via Cloud Run/GCP while collaborating with product managers and AI researchers to implement Gemini models in robust agentic frameworks.
Location: Manila
Workplace: Remote
Employment Type: Full time · Permanent
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design and implement structured multi-agent architectures (sequential pipelines, parallel fan-out/gather, loop-based self-correction) using Google ADK.
  • •Build deterministic graph workflows that combine adaptive AI reasoning with explicit execution paths for predictable outcomes.
  • •Create and integrate custom Agent Skills and third-party tools, including Google Maps MCP, search tools, and enterprise APIs.
  • •Use ADK evaluation tools to test execution trajectories, manage loop limits, avoid key collisions, and mitigate production hallucinations.
  • •Deploy and maintain optimized agents on Agent Engine via Cloud Run/GCP, ensuring high availability, security, and low latency.

Key Requirements

  • •Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience.
  • •2+ years building and deploying production-grade LLM applications or agentic AI systems.
  • •Strong proficiency in Python (with tools like uv/pip) or TypeScript/Node.js supported by ADK.
  • •Experience with the Google Cloud Platform (GCP) ecosystem including Cloud Run, Vertex AI, Secret Manager, and Cloud Storage.
  • •Hands-on experience developing with Google’s open-source Agent Development Kit (ADK 2.0+).
Experience:2+ yearsLLMAgentic AIGoogle CloudMulti-agent systems
Education:Bachelor's in Computer Science
Tech Stack:Google Agent Development Kit (ADK)ADK 2.0+Google Maps MCPModel Context Protocol (MCP)Gemini 2.5 FlashGemini ProPythonTypeScriptNode.jsUvPipGoogle Cloud Platform (GCP)Cloud RunVertex AISecret ManagerCloud StorageAgent EngineGitHub ActionsTerraformCI/CD

Company Brief

TTEC Digital
Provides digital customer experience consulting, technology and managed services, delivering CX platforms, automation, analytics, and design to help enterprises transform customer engagement across channels.
Industry: Consulting
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Englewood, United States
WebsiteLinkedIn