Agentic AI Engineer – Google ADK/GCP

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

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.

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.
• 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 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.

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 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 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.

Benefits

• Medical, dental, vision
• Tax‑advantaged health care accounts
• Financial and income protection benefits
• Paid time off (PTO) and wellness time off

This position is eligible to participate in an annual incentive program. Actual compensation offered to a candidate may vary based upon geographic location, work experience, education and/or skill levels.

• TTEC is a proud equal‑opportunity employer. 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.