Agentic AI Engineer (Google ADK GCP)

At TTEC Digital we coach clients to ensure their employees feel valued and fully supported because an amazing customer experience is an employee first process. Our vision is the same a place where employees know they can thrive.

As an Agentic AI Engineer specializing in Googles Agent Development Kit (ADK) you will design build and scale production-ready Multi-Agent Systems (MAS) and complex AI workflows. You will bridge the gap between simple LLM prompting and robust deterministic enterprise-scale software engineering.

In this role you will leverage ADK to orchestrate specialized micro-agents build reliable graph-based workflows and integrate AI agents seamlessly with enterprise datastores APIs and Model Context Protocol (MCP) tools. You will be responsible for moving AI from conceptual prototypes to high-throughput mission-critical business systems deployed on Agent Engine.

What Youll Be Doing

• 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.

What Youll Bring to the Role

• Bachelors 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/.
• Experience with the Google Cloud Platform (GCP) ecosystem including Cloud Run Vertex AI Secret Manager and Cloud Storage.

What Will Help You Succeed

• 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.

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We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.

Required Experience:

Unclear Seniority

Employment Type : Full-Time
Experience: years
Vacancy: 1