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About the Role

As an Agentic AI Engineer specializing in Google’s 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.

Responsibilities

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.
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 drastically mitigate production hallucinations.
Deploy optimized agents to Agent Engine (via Cloud Run / Google Cloud Platform) and maintain high availability, security, and low latency.

Requirements

Bachelor’s degree in computer science, Software Engineering, Artificial Intelligence, Machine Learning, or a related technical discipline; equivalent practical experience will also be considered.
2+ years of hands-on experience designing, developing, and deploying production-grade Generative AI, Large Language Model (LLM), or Agentic AI applications in enterprise environments.
Strong software engineering proficiency in Python and/or TypeScript/Node.js, including modern development practices, dependency management, testing frameworks, API development, and CI/CD pipelines.
Experience building autonomous AI agents, intelligent workflows, retrieval-augmented generation (RAG) solutions, or multi-step LLM applications that interact with external systems and data sources.
Hands-on experience with Google Cloud Platform (GCP), including services such as Vertex AI, Cloud Run, Cloud Storage, Secret Manager, IAM, and cloud-native application deployment patterns.
Solid understanding of prompt engineering, tool calling, function execution, agent memory management, context optimization, and LLM application architecture.
Experience integrating AI solutions with enterprise APIs, databases, knowledge repositories, and third-party platforms while maintaining security, scalability, and observability standards.
Strong troubleshooting and debugging skills with the ability to monitor, optimize, and improve AI application performance in production environments.
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.

Skills

Google Agent Development Kit (ADK)
Multi-Agent Systems (MAS)
Python
TypeScript/Node.js
Generative AI
Large Language Model (LLM)
Agentic AI
Google Cloud Platform (GCP)
Vertex AI
Cloud Run
Cloud Storage
Secret Manager
IAM
Prompt Engineering
Tool Calling
Function Execution
Agent Memory Management
Context Optimization
LLM Application Architecture
Retrieval-Augmented Generation (RAG)
Model Context Protocol (MCP)

Location

Remote

Work Type

Remote
Full-time

Experience Level

2+ years

Education Level

Bachelor’s degree in computer science, Software Engineering, Artificial Intelligence, Machine Learning, or a related technical discipline

Salary/Compensations

$135,000 - $155,000 a year

Benefits

Eligible to participate in an annual incentive program
Medical, dental, vision
Tax-advantaged health care accounts
Financial and income protection benefits
Paid time off (PTO) and wellness time off

About the Company

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.
TTEC Digital and our 1,800+ employees, pioneer engagement and growth solutions that fuel the exceptional customer experience (CX). Our sister company, TTEC Engage, is a 60,000+ employee service company, with customer service representatives located around the world. TTEC Holdings Inc. is the parent company for both Digital and Engage. When clients have a holistic need, they can draw from these independently managed centers of excellence, TTEC Digital and TTEC Engage.
TTEC has been awarded the Great Place To Work 2024-2025 certification based on outstanding employee experience across 14 countries.

Equal Opportunity

TTEC is a proud equal opportunity employer where all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability. TTEC has fully embraced and is committed to expanding our diverse and inclusive workforce. We strive to reflect the communities we serve while delivering amazing service and technology centered around humanity.