Agentic AI Engineer – Google ADK

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TTEC Digital

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

📣 Marketing

🤖 Artificial Intelligence

Consulting • Marketing • Artificial Intelligence

TTEC Digital is a leader in customer experience transformation, combining technology and human empathy to enhance customer interactions. With a focus on artificial intelligence, contact center technology, and customer relationship management, TTEC Digital delivers tailored solutions for mid-market digital transformation. Their comprehensive offerings include data analytics, CX strategy and design, and managed services that optimize customer engagements across various industries.

📋 Description

• Architect Multi-Agent Systems: Design and implement structured multi-agent architectures (Sequential Pipelines, Parallel Fan-out/Gather, and Loop-based self-correction) using Google ADK. • Develop Core Agentic Logic: Build deterministic graph workflows that effectively weave adaptive AI reasoning with explicit execution paths to ensure predictable outcomes. • Tool & Skill Integration: Create, map, and integrate custom Agent Skills and third-party tools (including Google Maps MCP, Search tools, and custom enterprise APIs). • Evaluation & Debugging: Use ADK evaluation tools to test execution trajectories, manage loop limits, avoid key collisions, and drastically mitigate production hallucinations. • Scale and Deploy: Deploy optimized agents to Agent Engine (via Cloud Run / Google Cloud Platform) and maintain high availability, security, and low latency. • Collaborate across Ecosystems: Work alongside product managers and core AI researchers to optimize the implementation of Gemini models ($Gemini\ 2.5\ Flash$, Pro, etc.) within agentic frameworks.

🎯 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 (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. • 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.