Salary not disclosed
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Role overview
Job description
- Develop Multi-Agent Architectures: Build and configure modular, hierarchical agent networks (Root/Steering agents and targeted Sub-agents) using a combination of the CX Agent Studio canvas and programmatic Code Agents.
- 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.
About this listing
- Source: TTEC Digital's official careers site (via Lever) · last confirmed on the source 7 Nov 2026
- Posted 28 Aug 2026
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What they are looking for
Skills & requirements
Qualification
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); 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; We are also delighted to share that TTEC has been awarded the Great Place To Work 2024-2025 certification based on outstanding employee experience across 14 countries
Department · Google
Hiring company
TTEC Digital
TTEC Digital is the largest pure-play CX solutions partner for data, AI, observability and security. Learn more.
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