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.
#LI-BN1
Skills Required
- Bachelor's degree in Computer Science or related technical field, or equivalent practical experience
- 2+ years building and deploying production-grade LLM applications or Agentic AI systems
- Strong proficiency in Python or TypeScript/Node.js
- Experience with Google Cloud Platform: Cloud Run, Vertex AI, Secret Manager, Cloud Storage
- Deploying and maintaining agents on Agent Engine with high availability, security, and low latency
- Hands-on experience with Google 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 into LLM context windows
- Experience implementing CI/CD for AI applications (e.g., GitHub Actions, Terraform)
- Experience with evaluation frameworks for AI agents (precision, recall, tool-calling accuracy)
- Experience integrating tools such as Google Maps MCP, search tools, and custom enterprise APIs
TTEC Digital Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about TTEC Digital and has not been reviewed or approved by TTEC Digital.
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Wellbeing & Lifestyle Benefits — Wellbeing resources include Calm access, specialized programs (e.g., Pelago, Maven, Sword), and a Lifestyle Spending Account for wellness activities. These offerings extend beyond core medical to support mental health and daily wellness needs.
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Leave & Time Off Breadth — Time-off programs cover PTO, sick/wellness time, paid holidays, and paid parental leave, with some Digital roles describing manager‑discretion “unlimited PTO.” This structure can offer flexibility for corporate/tech roles when team norms support it.
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Healthcare Strength — Core coverage spans medical, dental, vision, telemedicine/behavioral health, EAP, and optional protections like critical illness, accident, legal, ID‑theft, and pet insurance. The breadth indicates a comprehensive health offering on paper across physical and mental care.
TTEC Digital Insights
What We Do
TTEC Digital is a global leader in customer experience orchestration, combining technology and empathy at the point of conversation. With decades of innovation experience across the world’s leading contact center technology platforms — plus in-house expertise in CX strategy, data and analytics, AI and more — TTEC Digital delivers an unmatched skillset for organizations looking to forge deeper customer relationships and drive better business outcomes.
