Agentic AI Engineer – Google ADK​/GCP

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.

• 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.

• 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 Type Script/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.

• 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.