AI Product Engineer - Internal Apps

KnowledgeCity; Lahore; On-site; PKR 1,800,000 - 2,400,000; Full time

Benefits offered by this job

Job summary

KnowledgeCity is seeking a Product Engineer to build practical internal applications that empower teams with faster insights, better decisions, and reduced manual work. This AI-first role emphasizes turning business needs into working tools for reporting, analytics, and workflow management.

You’ll prototype quickly, connect systems, and continuously improve applications based on real-world usage, collaborating with stakeholders across the company to map problems to usable solutions.

Qualifications

• Experience building functional internal tools or automations with AI coding tools or low-code platforms.
• Ability to plan, build, debug, and improve apps using AI-assisted development.
• Knowledge of APIs, databases, data models, authentication, and deployment.
• Ability to read and modify AI-generated code without a traditional software background.
• Strong product thinking and ability to map processes to workflows.
• Comfort with business data, validation of outputs, and reporting UX.
• Experience integrating SaaS and internal systems via APIs and automations.
• Attention to data security, permissions, and privacy.

Responsibilities

• Build and maintain internal applications, dashboards, utilities, and workflow tools using AI-assisted development methods.
• Collaborate with stakeholders to translate business processes into practical solutions.
• Rapidly prototype, test, and iterate internal products from concept to production.
• Develop reporting and analytics apps that surface key metrics and visibility.
• Create operational tools for approvals, task execution, data entry, and workflow management.
• Connect apps to APIs, databases, AI models, and systems, including authentication and data flows.
• Design and refine AI-powered features, prompts, and system logic for reliability.
• Test, troubleshoot, and improve applications post-launch with ongoing maintenance.
• Document apps, workflows, data sources, permissions, and procedures; support user adoption.

Skills

AI-assisted dev

Low-code/No-code

APIs & DBs

AI-generated code

Product thinking

Data analytics

API integrations

Security & data

Documentation ownership

Job description

The Product Engineer is responsible for building practical internal applications that help KnowledgeCity teams work faster, make better decisions, and reduce manual work. This is an AI-first product-building role rather than a traditional software engineering position. The ideal candidate is highly comfortable with development concepts and is exceptionally strong at using AI-assisted development tools to turn business requirements into functional applications for reporting, analytics, operations, workflow management, and task execution. This role works directly with teams across the company to understand problems, prototype solutions quickly, connect systems and data, and continuously improve applications based on real-world usage.

Responsibilities:

• Build and maintain internal applications, dashboards, utilities, and workflow tools using AI-assisted development methods.
• Work directly with stakeholders across departments to understand business processes, pain points, requirements, and desired outcomes, then translate them into practical application solutions.
• Rapidly prototype, test, and iterate on internal products, moving from concept to a usable production application with minimal unnecessary complexity.
• Develop reporting and analytics applications that consolidate data, surface key metrics, and give teams clearer visibility into performance and operations.
• Build operational tools for approvals, task execution, data entry, status tracking, workflow management, and other repeatable cross-functional processes.
• Connect applications to APIs, databases, AI models, and business systems, including handling authentication, data flows, webhooks, and system integrations as needed.
• Design and refine AI-powered features, prompts, workflows, and system logic, and validate outputs for reliability, accuracy, and usability.
• Test, troubleshoot, and improve applications after launch, including resolving bugs, monitoring usage, managing versions, and maintaining dependable user experiences.
• Document applications, workflows, data sources, permissions, and operating procedures, and support users with adoption and training when needed.

Required Experience and Skills:

• Demonstrated experience building functional applications, internal tools, automations, or digital workflows using AI coding tools, low-code/no-code platforms, traditional development, or a combination of these approaches.
• Exceptional ability to use AI-assisted development tools to plan, build, debug, and improve applications efficiently.
• Strong understanding of core application development concepts, including front-end and back-end logic, APIs, databases, data models, authentication, webhooks, deployment, and version control.
• Ability to read, modify, test, and troubleshoot AI-generated code even without a traditional software engineering background.
• Strong product thinking and process-mapping skills, with the ability to turn ambiguous operational problems into clear workflows and usable tools.
• Comfort working with business data and analytics, including structuring data, validating outputs, and creating useful reporting experiences.
• Experience integrating SaaS platforms and internal systems through APIs, automation tools, or direct application connections.
• Strong attention to quality, permissions, security, and appropriate handling of company and customer data when building internal applications.
• Strong communication, documentation, prioritization, and ownership skills, with the ability to manage multiple internal application requests and drive them through completion.