AI-Powered Internal Apps Engineer

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

Job summary

KnowledgeCity is seeking a Product Engineer to build practical internal applications and AI-powered tools that help teams operate faster and make better decisions. This role focuses on AI-assisted development to translate business requirements into production-ready dashboards, analytics, and workflow systems.

You will prototype quickly, connect systems, and iterate based on real-world usage, collaborating across departments to deliver effective internal solutions with strong data governance and

Qualifications

• 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.

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.

Skills

AI-assisted tooling

Low-code / no-code

APIs & DBs

Frontend & Backend

AI-generated code debugging

Product thinking

Data analytics

Security & permissions

Workflow tools

Job description

KnowledgeCity is seeking a Product Engineer to build practical internal applications and AI-powered tools that help teams operate faster and make better decisions. This role focuses on AI-assisted development to translate business requirements into production-ready dashboards, analytics, and workflow systems.

You will prototype quickly, connect systems, and iterate based on real-world usage, collaborating across departments to deliver effective internal solutions with strong data governance and