TTEC Digital

3 weeks ago

Agentic AI Engineer (Google ADK / GCP)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Design, build, and scale production-ready Multi-Agent Systems and agentic graph workflows using Google’s Agent Development Kit (ADK). You’ll integrate custom agent skills and third-party tools (including MCP) and deploy optimized agents to Agent Engine via Cloud Run and GCP, ensuring high availability and low latency. Partner with product managers and core AI researchers to implement Gemini models within agentic frameworks while evaluating and debugging for reliable, low-hallucination outcomes.

Location: Bogotá

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

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

Key Requirements

•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 (using uv or pip) or TypeScript/Node.js.
•Experience with Google Cloud Platform (GCP) ecosystem, including Cloud Run, Vertex AI, Secret Manager, and Cloud Storage.
•Hands-on experience developing with the official open-source Google Agent Development Kit (ADK 2.0+).

Experience:2+ yearsLLM applicationsAgentic AI

Education:Bachelor's in Computer Science

Tech Stack:Google ADKAgent EngineCloud RunGoogle Cloud PlatformGCPVertex AISecret ManagerCloud StoragePythonTypeScriptNode.jsUvPipGoogle Maps MCPModel Context Protocol (MCP)Gemini 2.5 FlashGemini 2.5 ProGitHub ActionsTerraform

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

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TTEC Digital

3 weeks ago

Agentic AI Engineer (Google ADK / GCP)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Location: Bogotá

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

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

Key Requirements

•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 (using uv or pip) or TypeScript/Node.js.
•Experience with Google Cloud Platform (GCP) ecosystem, including Cloud Run, Vertex AI, Secret Manager, and Cloud Storage.
•Hands-on experience developing with the official open-source Google Agent Development Kit (ADK 2.0+).

Experience:2+ yearsLLM applicationsAgentic AI

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