TTEC Digital

2 days 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: 2 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

Website LinkedIn

Loading job details...

Preparing the role view and application actions.

TTEC Digital

2 days 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: 2 hours agoStatus: Live

Job Summary

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

Company Brief

TTEC Digital

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

Website LinkedIn