AI Engineer

C Square; Karachi Division; On-site; PKR 1,800,000 - 3,000,000; Full time

Job summary

C Square is looking for an experienced AI Engineer to join its AI & Automation practice. You will build and train production-grade models and flows powering conversational agents and predictive automation for enterprise clients.

You will collaborate with Solution Architects, work on real-time data pipelines, and implement NLP techniques to improve intent recognition and dialogue management across multiple channels.

Qualifications

• 2–4 years of experience in AI/ML, NLP, or conversational AI.
• Proficient in Python and ML/NLP libraries.
• Experience with API integrations and real-time data pipelines.

Responsibilities

• Build, train, and fine-tune virtual agents using client data.
• Develop and deploy Agent Copilot flows and prompts.
• Implement predictive routing and engagement models.
• Build and test AI Studio flows in staging before go-live.
• Work with speech and text analytics pipelines on full data.
• Collaborate with Solution Architects to deploy tuned systems.

Skills

AI/ML engineering

NLP / conversational AI

Python

ML frameworks

Tools

spaCy

Hugging Face

TensorFlow

Job description

Build Your Career at the Region's Leading Experience Technology Partner

About the Role
C Square’s AI & Automation practice builds conversational AI, voice bots, agent copilots, and predictive automation natively on Genesys Cloud AI for enterprise clients across banking, telecom, and government. As an AI Engineer, you’ll build and train the models and flows that power these deployments — turning architecture into working, production-grade automation.

Key Responsibilities

• Build, train, and fine-tune virtual agents (voice and digital bots) using client interaction data
• Develop and deploy Agent Copilot flows — real-time prompts, knowledge surfacing, post-call summarisation
• Implement predictive routing and predictive engagement models
• Build and test AI Studio flows in staging before client go-live
• Work with Speech & Text Analytics pipelines across 100% of interaction data (not sampled)
• Collaborate with Solution Architects to translate designs into deployed, tuned systems

Requirements

• 2–4 years’ experience in AI/ML engineering, NLP, or conversational AI development
• Hands-on experience with Python and common ML/NLP frameworks (spaCy, Hugging Face, TensorFlow, or similar)
• Understanding of intent recognition, entity extraction, and dialogue management
• Comfortable working with API integrations and real-time data pipelines