Agentic AI Engineer | ADK/GCP for Multi-Agent Systems

Ttecdigital; Austin (TX); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Medical, dental, vision

Tax‑advantaged health accounts

Financial and income protection

Paid time off

Job summary

TTEC Austin seeks an Agentic AI Engineer to design and scale production‑ready Multi‑Agent Systems and AI workflows using Google's ADK. You will bridge deterministic software engineering with adaptive AI reasoning in enterprise environments.

Responsibilities include architecting MAS, integrating agent skills and tools, debugging with ADK tools, and deploying agents to Cloud Run on GCP, ensuring security, low latency, and high availability.

Qualifications

• 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, LLM, or Agentic AI applications in enterprise environments.
• Strong software engineering proficiency in Python and/or TypeScript/Node.js, including API development and CI/CD pipelines.

Responsibilities

• Architect Multi‑Agent Systems: design and implement structured multi‑agent architectures using Google ADK.
• Develop Core Agentic Logic: build deterministic graph workflows that weave adaptive AI reasoning with explicit execution paths.
• 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 and mitigate production hallucinations.
• Scale and Deploy: deploy optimized agents to Agent Engine (Cloud Run) with high availability, security, and low latency.

Skills

Python

TypeScript/Node.js

CI/CD

Generative AI/Agentic AI

Debugging

Prompt engineering

Tool calling/Function execution

LLM architectures

Enterprise API integration

Security/Observability

GCP experience

Education

Bachelor’s degree or equivalent in CS/SE/AI/ML

Tools

Google Agent Development Kit (ADK) 2.0+

Vertex AI

Cloud Run

Secret Manager

IAM

Job description

TTEC Austin seeks an Agentic AI Engineer to design and scale production‑ready Multi‑Agent Systems and AI workflows using Google's ADK. You will bridge deterministic software engineering with adaptive AI reasoning in enterprise environments.

Responsibilities include architecting MAS, integrating agent skills and tools, debugging with ADK tools, and deploying agents to Cloud Run on GCP, ensuring security, low latency, and high availability.