Write Custom Code Tools & Callbacks: Program specialized backend logic, data transformation scripts, and custom tool callbacks in Python or TypeScript to extend agent capabilities beyond basic natural language prompts.
Leverage GECX Engineering CLI & Tooling: Run automated code-first developer workflows utilizing uv environments and the cxas CLI for structural static linting (cxas lint) and advanced semantic instruction validation (cxas llm-lint).
Design Generative Playbooks & Control Flows: Author and maintain structured, XML-like agent instructions (<role>, <constraints>, <taskflow>) that natively hook into custom Python tools ({@TOOL: custom_script}) and sub-agent routing syntax ({@AGENT: specialized_subagent}).
Program Enterprise Integrations: Seamlessly hook Code Agents into live databases, product catalogs, CRMs, and CCaaS networks (e.g., Genesys, Avaya) via Model Context Protocol (MCP) or secure OpenAPI webhooks.
- Automate Quality & Evaluation (CI/CD): Script programmatic, golden-scenario test cases and simulation evals using simulation frameworks to test multi-turn agent trajectories, preventing hallucinations and conversational regressions before sync-to-prod.
- Skills and experience you will bring:
- Bachelor’s degree in computer science, engineering field, or equivalent practical experience.
3+ years of experience building conversational AI solutions, virtual agents, or programmatic AI workflows.
Strong proficiency in Python or TypeScript/Node.js, with hands-on experience handling complex JSON payloads, RESTful APIs, and cloud-hosted webhooks.
Experience utilizing Git-based developer workflows and command-line interfaces (CLIs) for software versioning and deployment.
Hands-on experience building with Google’s GECX Code Agent tooling (e.g., cxas-scrapi workspace/SDK, Python-based agent foundries).
Good technical understanding of Dialogflow CX, CX Agent Studio, or similar advanced, stateful conversational frameworks.
Experience deploying streaming, low-latency audio-to-audio (A2A) voice agents and integrating with telephony (SIP/RTP) or CCaaS partner environments.
Solid grasp of prompt engineering safety protocols, blocklists, and programmatic fallback behaviors (e.g., before_model_callback or after_tool_callback hooks).
Experience with BigQuery or Google Cloud Logging to programmatically extract conversation traces, search text transcripts, and build data-driven performance metrics.
