Cloud Expert- Gen Ai (GECX/CCA)

Niveus; Mangaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Niveus is seeking a GECX Developer in India to drive advanced conversational interfaces and migrate legacy IVRs to intelligent voicebots. You will work across Dialogflow CX, CCAI, and Vertex AI Agent Builder, building scalable serverless backends in Python and Node.js.

You will design end-to-end dialog architectures, enable real-time handoffs to agents, and optimize agent routing via BigQuery analytics and Looker dashboards. Strong backend, cloud, and GenAI experience are essential.

Qualifications

• Candidates will be evaluated against core technical dimensions including CCAI & Conversational AI, backend & webhooks integration, real-time telephony streaming, GenAI & agentic workflows, and GCP analytics.

Responsibilities

• Conversational AI Engineering & IVR Migration: Architect and implement high-fidelity virtual assistants, leading the migration of legacy telephony networks to modern Dialogflow CX and CCAI voicebots.
• GenAI & Agentic Orchestration: Construct non-linear dialog setups utilizing Google Playbooks, Gemini integrations, and enterprise Datastores via Vertex AI Agent Builder to minimize hallucinations.
• Real-time Webhook Development: Write, test, and deploy scalable, low-latency webhook microservices utilizing serverless cloud setups (GCP Cloud Run, Cloud Functions) built on Python and Node.js.
• Live-Agent Handoff: Architect real-time streaming architectures using WebSockets, Pub/Sub, and bidirectional streaming APIs to cleanly hand off live conversation transcripts to contact center agents (e.g., LivePerson, Salesforce).
• Analytics & Performance Optimization: Parse conversational log data in BigQuery and design analytical reports using Looker and Cloud Logging to continuously optimize virtual agent routing and intent classification.

Skills

Generative AI

Dialogflow CX

Python

Architecture

Tools

Node.js

Python

Job description

.As aGECX Developer, you will play a critical role in engineering advanced conversational interfaces, transitioning legacy IVRs to intelligent voicebots, and orchestrating serverless backend architectures. You will possess a deep understanding of Google Cloud's Contact Center AI (CCAI) ecosystem, combined with backend engineering rigor and generative AI application frameworks.

Department

Data Modernization

Open Positions

1

Skills Required

Generative AI, Dialogflow CX, Python, Architecture

Role

• Conversational AI Engineering & IVR Migration:Architect and implement high-fidelity virtual assistants, leading the migration of legacy telephony networks to modern Dialogflow CX and CCAI voicebots.
• GenAI & Agentic Orchestration:Construct non-linear dialog setups utilizing Google Playbooks, Gemini integrations, and enterprise Datastores (via Vertex AI Agent Builder) to minimize hallucinations.
• Real-time Webhook Development:Write, test, and deploy scalable, low-latency webhook microservices utilizing serverless cloud setups (GCP Cloud Run, Cloud Functions) built on Python and Node.js .
• Live-Agent Handoff:Architect real-time streaming architectures using WebSockets, Pub/Sub, and bidirectional streaming APIs to cleanly hand off live conversation transcripts to contact center agents (e.g., LivePerson, Salesforce).
• Analytics & Performance Optimization:Parse conversational log data in BigQuery and design analytical reports using Looker and Cloud Logging to continuously optimize virtual agent routing and intent classification.

Key Roles & Responsibilities

• Conversational AI Engineering & IVR Migration:Architect and implement high-fidelity virtual assistants, leading the migration of legacy telephony networks to modern Dialogflow CX and CCAI voicebots.
• GenAI & Agentic Orchestration:Construct non-linear dialog setups utilizing Google Playbooks, Gemini integrations, and enterprise Datastores (via Vertex AI Agent Builder) to minimize hallucinations.
• Real-time Webhook Development:Write, test, and deploy scalable, low-latency webhook microservices utilizing serverless cloud setups (GCP Cloud Run, Cloud Functions) built on Python and Node.js .
• Live-Agent Handoff:Architect real-time streaming architectures using WebSockets, Pub/Sub, and bidirectional streaming APIs to cleanly hand off live conversation transcripts to contact center agents (e.g., LivePerson, Salesforce).
• Analytics & Performance Optimization:Parse conversational log data in BigQuery and design analytical reports using Looker and Cloud Logging to continuously optimize virtual agent routing and intent classification.

Technical Skills & Core Competency Requirements

Candidates will be evaluated against the following core technical dimensions:

1. CCAI & Conversational AI Core

• Platforms:Dialogflow CX, Dialogflow ES.
• Core NLU:Expert handling of Route Groups, Intent Mapping, Entity Recognition, Context Handling, and Google ADK.
• Agent Assist:Experience designing tools with CCAI Agent Assist and Google Playbooks.

2. Backend & Webhooks Integration

• Languages & Frameworks: Node.js ( Express.js ), Python.
• APIs & Compute:RESTful API design, serverless deployments using Google Cloud Run and Google Cloud Functions.
• Security:Solid grasp of Auth workflows, including OAuth and JWT.

3. Real-time & Telephony Streaming

• Speech Technologies:Google Speech-to-Text (STT) and Text-to-Speech (TTS).
• Telephony Gateways:Dialogflow CX Phone Gateway, Twilio WebSockets, AudioCodes.
• Integration Protocols:Bidirectional streaming APIs and live-agent platform handoffs (Salesforce, LivePerson).

4. GenAI, RAG & Agentic Workflows

• Search & Orchestration:Vertex AI Agent Builder (Enterprise Datastores integration), LangChain, LangGraph.
• Generative Models:Gemini integration, LLM Prompt Engineering.
• Reliability:Implementation of Code Block validation techniques for mitigating LLM hallucinations.

5. GCP Infra & Analytics

• Data & Logging:BigQuery (parsing conversation logs), Firestore, Cloud Logging.
• Visualization:Looker dashboarding.

Preferred Qualifications & Certifications

• Google Cloud Associate Cloud Engineer (ACE) certification.
• Google Cloud Professional Cloud Architect certification.
• Proven experience delivering production-grade conversational AI systems, virtual assistants, or telephony systems.