Senior Software Engineer, Dev

ibex; Lahore; Sur place; PKR 1 800 000 - 3 200 000; Plein temps

Résumé du poste

ibex seeks a Senior Software Engineer – AI Solutions to design, build, and deploy AI-powered voice and digital agents for enterprise clients in Lahore. You will blend hands-on AI development with solution delivery, translating business requirements into practical conversational journeys and integrations.

You will work with clients and internal teams, implement agent prompts and workflows, test and optimize integrations, and contribute to production-ready AI solutions using enterprise platforms.

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, IT, or a related field.
• 3–5 years of experience in software development, technical implementation, backend integration, or solution delivery.
• Strong hands-on experience with TypeScript/JavaScript; Node.js experience is a plus.
• Experience working with REST APIs, webhooks, JSON, Git, and SQL/databases.
• Practical experience with Generative AI, LLMs, conversational AI, prompt engineering, or RAG.
• Experience building or configuring AI agents, chatbots, voicebots, or low-code/no-code solutions is highly desirable.
• Ability to translate business requirements into technical workflows and conversational experiences.
• Basic understanding of voice/telephony concepts such as SIP, IVR, call routing, and transfers is desirable.

Responsabilités

• Design and build AI-powered voice and digital agents using enterprise AI platforms.
• Work directly with clients to understand requirements and translate them into agent personas, prompts, conversation journeys, workflows, and business rules.
• Configure and customize AI agents using platform capabilities, reusable components, and custom code where required.
• Develop and integrate solutions using TypeScript/JavaScript, REST APIs, webhooks, SDKs, and JSON-based interfaces.
• Work with enterprise systems and backend services, including authentication and data integrations.
• Apply prompt engineering, context design, RAG, tool/function calling, and AI agent concepts to improve agent performance.
• Build and maintain integrations required to support client use cases and agent workflows.
• Perform functional testing, troubleshooting, debugging, and optimization across agents, integrations, and backend systems.
• Support client demos, UAT, deployment, and post-deployment issue resolution.
• Collaborate with Product, Engineering, QA, Solutions, and Client teams throughout the solution delivery lifecycle.
• Identify opportunities to create reusable configurations, components, and integration patterns that improve delivery efficiency across clients.
• Document solution configurations, integrations, technical decisions, and operational requirements.
• Take ownership of assigned technical deliverables and drive them to completion with appropriate guidance from senior technical resources.

Connaissances

TypeScript/JavaScript

Node.js

Generative AI / LLMs / Prompt eng. / R

Formation

Bachelor’s degree in Computer Science or related field

Outils

REST APIs

Webhooks

JSON

Git

SQL/databases

Description du poste

Overview

ibex. is seeking a technically proficient Senior Software Engineer – AI Solutions to design, build, integrate, test, and deploy AI-powered voice and digital agents for enterprise clients.

The role combines hands-on AI agent development with software engineering and client-facing solution delivery. The engineer will work closely with clients and internal teams to translate business requirements into conversational journeys, workflows, integrations, and production-ready AI solutions using enterprise AI platforms.

Responsibilities

• Design and build AI-powered voice and digital agents using enterprise AI platforms.
• Work directly with clients to understand requirements and translate them into agent personas, prompts, conversation journeys, workflows, and business rules.
• Configure and customize AI agents using platform capabilities, reusable components, and custom code where required.
• Develop and integrate solutions using TypeScript/JavaScript, REST APIs, webhooks, SDKs, and JSON-based interfaces.
• Work with enterprise systems and backend services, including authentication and data integrations.
• Apply prompt engineering, context design, RAG, tool/function calling, and AI agent concepts to improve agent performance.
• Build and maintain integrations required to support client use cases and agent workflows.
• Perform functional testing, troubleshooting, debugging, and optimization across agents, integrations, and backend systems.
• Support client demos, UAT, deployment, and post-deployment issue resolution.
• Collaborate with Product, Engineering, QA, Solutions, and Client teams throughout the solution delivery lifecycle.
• Identify opportunities to create reusable configurations, components, and integration patterns that improve delivery efficiency across clients.
• Document solution configurations, integrations, technical decisions, and operational requirements.
• Take ownership of assigned technical deliverables and drive them to completion with appropriate guidance from senior technical resources.

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, IT, or a related field.
• 3–5 years of experience in software development, technical implementation, backend integration, or solution delivery.
• Strong hands-on experience with TypeScript/JavaScript; Node.js experience is a plus.
• Experience working with REST APIs, webhooks, JSON, Git, and SQL/databases.
• Practical experience with Generative AI, LLMs, conversational AI, prompt engineering, or RAG.
• Experience building or configuring AI agents, chatbots, voicebots, or low-code/no-code solutions is highly desirable.
• Ability to understand business requirements and convert them into technical workflows and conversational experiences.
• Basic understanding of voice/telephony concepts such as SIP, IVR, call routing, and transfers is desirable.
• Experience troubleshooting API integrations, agent behavior, data flows, and production issues.
• Strong communication and stakeholder management skills, with the ability to work directly with clients.
• Ability to work effectively across AI platform configuration, integrations, testing, and custom software development.
• Comfortable working in a fast-paced environment with multiple client projects and changing requirements.