We are seeking a skilled Cloud Engineer with experience in Generative AI to join our energetic team. The ideal candidate will be responsible for designing, implementing, and maintaining cloud-based solutions that leverage artificial intelligence technologies. You will work closely with cross-functional teams to integrate generative AI capabilities into our existing infrastructure and drive innovation through cloud technologies.

Department:

Data Modernization

Open Positions:

1

Skills Required:

Dialogflow CX, Python, CCAI, Generative ai

Role:

Key Roles & Responsibilities

- Conversational AI Engineering & IVR Migration: 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.
- 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.

Location:

Mangaluru / Udupi / Bangalore

Years Of Exp:

3 to 5 years

Posted On:

20-Aug-2026

📌 Cloud Engineer-Gen Ai - GECX (GCP CCAI) (Mangalore)
🏢 Niveus Solutions
📍 Mangalore