IBEX

Biotech company: antibodies and gene therapy

Senior Software Engineer

AI Application EngineeringPosted on Nov 5

Full-timeLahore, Punjab, PakistanNo salary listedIn-person

About the Job

Requirements

A bachelor's degree in Computer Science, Software Engineering, IT, or a related field is required.
Three to five years of experience in software development, technical implementation, backend integration, or solution delivery is required.
Strong hands-on experience with TypeScript or JavaScript is required; Node.js experience is a plus.
Experience with REST APIs, webhooks, JSON, Git, and SQL or databases is required.
Practical experience with Generative AI, large language models, conversational AI, prompt engineering, or retrieval-augmented generation is required.
Ability to understand business requirements and convert them into technical workflows and conversational experiences is required.
Experience troubleshooting API integrations, agent behavior, data flows, and production issues is required.
Strong communication and stakeholder management skills, including the ability to work directly with clients, are required.
Ability to work across AI platform configuration, integrations, testing, and custom software development is required.
Comfort working in a fast-paced environment with multiple client projects and changing requirements is required.

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 or JavaScript, REST APIs, webhooks, software development kits, and JSON-based interfaces.
Work with enterprise systems and backend services, including authentication and data integrations.
Apply prompt engineering, context design, retrieval-augmented generation, tool or 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 demonstrations, user acceptance testing, deployment, and post-deployment issue resolution.
Collaborate with Product, Engineering, Quality Assurance, 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.

Desired Qualifications

Experience building or configuring AI agents, chatbots, voicebots, or low-code/no-code solutions is highly desirable.
A basic understanding of voice and telephony concepts such as Session Initiation Protocol, interactive voice response, call routing, and transfers is desirable.
Node.js experience is a plus.

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.

About the Company

IBEX

Biotech company: antibodies and gene therapy

Ibex Biosciences focuses on discovering, validating, and producing biotechnology solutions for health and ecological challenges. Its product portfolio includes therapeutic antibodies, gene therapy, and stem cell programs, as well as diagnostic antibodies for Immunohistochemistry (IHC) to improve biopsy accuracy. The company advances its products by conducting exploratory R&D on projects that may not yet be validated in public research, then develops and commercializes these technologies through licensing, partnerships, and direct sales to healthcare and research institutions. A key differentiator is Ibex’s diversified, internally driven pipeline and its mix of therapeutics and diagnostics, alongside active engagement in grant funding and patenting. The company’s goal is to bring proprietary biotech innovations to market to enhance patient outcomes and health-related research, addressing significant cancer-related and other health challenges.

Company size: 1-10
Company stage: Early VC
Total funding: $4.2M
Headquarters: North Bethesda, MD
Founded: 2015

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