Conversational AI Developer

TEKsystems Global Services in India; Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

TEKsystems Global Services in India is seeking a Lead Engineer for Gemini Enterprise for Conversational Experience (GE-CX). You will design, build, and deploy a sophisticated voice/chat agent using Google Cloud GE-CX to interpret natural language, validate information in real-time, and capture intricate order details.

The role emphasizes strong Python development, REST API integration, and hands-on experience with Gen AI/ML concepts to enhance customer interactions in contact centers.

Qualifications

• Experience with GE-CX and Google Cloud CCAI platforms.
• Strong Python skills for AI applications development.
• Ability to consume and integrate REST APIs in conversational agents.
• Familiarity with Gen AI/ML concepts is a plus.

Responsibilities

• Create human-like conversational experiences for customers placing orders via phone/chat.
• Design, build, and deploy a voice/chat agent using GE-CX on Google Cloud.
• Validate information in real-time and capture complex order details.

Skills

GE-CX proficiency

Google Cloud CCAI

Dialogflow CX

Python

REST API integration

Gen AI/ML exposure

Tools

Gemini Enterprise for Conversation Experience (GE-CX)

Google Cloud Contact Center AI (CCAI)

Dialogflow CX

Agentic

Playbook

Vertex AI

Job description

As the Lead Engineer for the Gemini Enterprise for Conversational Experience (GE:CX), candidate will be responsible for creating the human-like, conversational experience for customers who place orders over the phone/chat. You will use the new Google Cloud GE:CX Conversational AI platform to design, build, and deploy a sophisticated voice/chat agent capable of understanding natural language, validating information in real-time, and capturing complex order details.

• Deep Understanding in Gemini Enterprise for Conversation Experience (GE-CX), Google Cloud Contact Center AI (CCAI), Dialogflow CX, Agentic, Playbook, Next Gen,Vertex AI, other relevant AI/ML APIs, Prompt Engineering
• Worked on the identification, design, and implementation of use cases for GCP Agents in contact centers to improve customer experience and operational efficiency.
• Strong proficiency in Python for developing and deploying AI applications -Proven ability to consume and integrate REST APIs within conversational agents for real-time data exchange.
• Exposure to Gen AI & ML and hands on experience will be plus

Selection Criteria - 2 Technical rounds & 1 Managerial round