Conversational AI Engineer – Google, GECX, Code Agents

This is a fully remote position, open to applicants in Philippines.

📋 Description

• Design, implement, and enhance cutting-edge customer-oriented agentic workflows.

• Develop and set up modular, hierarchical multi-agent networks utilizing the CX Agent Studio canvas and programmatic Code Agents.

• Create specialized backend logic, data transformation scripts, and custom callbacks using Python or TypeScript.

• Execute automated code-first developer workflows through uv environments and the cxas CLI, including both structural and semantic linting.

• Write and maintain structured XML-like instructions for agents, incorporating custom tool hooks and sub-agent routing.

• Connect Code Agents with databases, product catalogs, CRMs, and CCaaS networks like Genesys and Avaya using MCP or secure OpenAPI webhooks.

• Automate golden-scenario test cases and simulation assessments for CI/CD, preventing hallucinations and conversational regressions prior to production synchronization.

• Facilitate digital discovery via Google Search and Maps in conjunction with customer operations across chat, voice, and retail/commerce channels.

⛳️ Requirements

• Bachelor’s degree in computer science, engineering, or relevant practical experience.

• Over 3 years of experience in developing conversational AI solutions, virtual agents, or programmatic AI workflows.

• Strong expertise in Python or TypeScript/Node.js, with practical experience in handling complex JSON payloads, RESTful APIs, and cloud-hosted webhooks.

• Proficient in using Git-based developer workflows and command-line interfaces (CLIs) for software version control and deployment.

• Practical experience with Google’s GECX Code Agent tools (e.g., cxas-scrapi workspace/SDK, Python-based agent foundries).

• Good technical comprehension of Dialogflow CX, CX Agent Studio, or similar advanced, stateful conversational frameworks.

• Experience with deploying streaming, low-latency audio-to-audio (A2A) voice agents and integration with telephony (SIP/RTP) or CCaaS partner environments.

• Strong understanding of prompt engineering safety protocols, blocklists, and programmatic fallback behaviors (e.g., before_model_callback or after_tool_callback hooks).

• Experience using BigQuery or Google Cloud Logging to programmatically extract conversation traces, search text transcripts, and create data-driven performance metrics.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Flexible work hours and remote work options.

• Opportunities for professional development and career advancement.

• Collaborative and inclusive work environment.