代理AI工程师 (Google ADK)
Agentic AI Engineer (Google ADK)
在TTEC Digital，我们指导客户，确保他们的员工感到被重视并得到充分支持，因为卓越的客户体验首先是一个员工流程。我们的愿景是一致的，一个让员工知道他们可以茁壮成长的地方。
作为专注于Google的Agent Development Kit（ADK）的Agentic AI工程师，您将设计、构建和扩展可投入生产的多智能体系统（MAS）和复杂的AI工作流。您将弥合简单LLM提示与强大、确定性的企业级软件工程之间的差距。
在这一职位中，您将利用ADK协调专业微代理，构建可靠的基于图的工作流，并将AI代理无缝集成到企业数据存储、API和Model Context Protocol（MCP）工具中。您将负责将AI从概念原型转移到高吞吐量、关键任务的企业系统，并在Agent Engine上部署。
这是一个永久性的远程职位，需要在美国内部业务时间工作，并与全球分布的团队和利益相关者协作。
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关于我们
TTEC Digital及我们的1800多名员工，开创了推动卓越客户体验（CX）的参与和增长解决方案。我们的子公司TTEC Engage是一家拥有60000多名员工的服务公司，客户服务中心代表遍布全球。TTEC Holdings Inc.是Digital和Engage的母公司。当客户有全面需求时，他们可以从这两个独立管理的卓越中心TTEC Digital和TTEC Engage中获取资源。
我们也很高兴地分享，TTEC已获得2024-2025年度Great Place To Work认证，这是基于14个国家的出色员工体验。
TTEC是一家自豪的平等机会雇主，所有符合条件的申请人都将根据年龄、种族、肤色、宗教、性别、性取向、性别认同、国籍、残疾等因素获得就业考虑。TTEC已全面接受并致力于扩大我们的多元化和包容性员工队伍。我们努力反映我们服务的社区，同时以以人为本的服务和技术为中心提供卓越的服务。
很少有申请人符合所有期望的职位资格，因此如果您认为自己能在上述职位中取得成功，请花一点时间分享您的资格。
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您将从事的工作
- 设计多智能体系统：设计和实现结构化的多智能体架构（顺序流水线）
查看英文原文
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 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.
This is a permanent remote position, requiring availability to work during US business hours and collaborate with globally distributed teams and stakeholders.
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About Us
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.
We are also delighted to share that TTEC has been awarded the Great Place To Work 2024-2025 certification based on outstanding employee experience across 14 countries.
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.
Rarely do applicants meet all desired job qualifications, so if you feel you would succeed in the role above, please take a moment and share your qualifications.
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What You'll 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 You'll Bring to the Role
- 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.
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.