Description

You will design and deploy conversational AI agents on Google Cloud Platform, owning the full lifecycle from component development to CI/CD integration.

This role is on-site.

Responsibilities

• Build and deploy agent components using Cloud Functions and Cloud Run.
• Implement Dialogflow CX fundamentals for conversational flows and agent behavior.
• Register external APIs for tool/function calling to enable data retrieval and backend task execution.
• Manage LLM prompt engineering, system instructions, and context window optimization for voice interactions.
• Create automated agent evaluation pipelines with golden tests and simulation runs to track performance metrics.

Required Skills

• 6+ years of experience in Google Cloud Platform (GCP) and Python.
• Proficiency in Python with object-oriented programming, type hinting, and asynchronous patterns.
• Deep understanding of Dialogflow CX and conversational agent architecture.
• Experience with API integration, tool/function calling, and protocol buffers for payload parsing.
• Strong background in testing, evaluation, and CI/CD practices for automated agent validation.
• Proven track record in conversational AI and agent development.

Preferred Skills

• Experience with Gen AI and generative agent design (goal-oriented, generative architectures).
• Familiarity with SCRAPI evals for automated agent evaluation and golden test orchestration.
• Knowledge of Application Default Credentials (ADC) usage with gcloud CLI and environment authentication.

Key Skills

Education

Any Graduate