Posted Sep 26, 2026 32 views
The Product Engineer plays a crucial role in developing practical internal applications that enable KnowledgeCity teams to work more efficiently, make informed decisions, and reduce manual tasks. This position emphasizes AI-first product development rather than traditional software engineering. The ideal candidate is well-versed in development concepts and excels at leveraging AI-assisted development tools to transform business needs into functional applications focused on reporting, analytics, operations, workflow management, and task execution. Collaboration with various teams across the organization is essential to identify challenges, quickly prototype solutions, integrate systems and data, and continuously enhance applications based on user feedback.
Key Responsibilities:
- Build and maintain internal applications, dashboards, utilities, and workflow tools using AI-assisted development techniques.
- Collaborate closely with stakeholders across departments to understand business processes, pain points, and desired outcomes, translating these into effective application solutions.
- Rapidly prototype, test, and iterate on internal products, ensuring a smooth transition from concept to production with minimal complexity.
- Develop reporting and analytics tools that aggregate data, highlight key metrics, and provide teams with clear visibility into performance and operations.
- Create operational tools to support approvals, task execution, data entry, status tracking, workflow management, and other repeatable cross-functional processes.
- Integrate applications with APIs, databases, AI models, and business systems, managing authentication, data flows, webhooks, and system connections as required.
- Design and refine AI-driven features, prompts, workflows, and system logic, validating outputs for accuracy, reliability, and usability.
- Test, troubleshoot, and enhance applications post-launch by resolving bugs, monitoring usage, managing versions, and ensuring a dependable user experience.
- Document applications, workflows, data sources, permissions, and operating procedures, and assist users with adoption and training when necessary.
Required Qualifications:
- Proven experience in building functional applications, internal tools, automations, or digital workflows using AI coding tools, low-code/no-code platforms, traditional development, or a combination thereof.
- Exceptional proficiency with AI-assisted development tools to efficiently plan, build, debug, and improve applications.
- Strong understanding of core 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 formal software engineering background.
- Excellent product thinking and process-mapping skills, capable of converting ambiguous operational challenges into clear workflows and practical tools.
- Comfortable working with business data and analytics, including data structuring, output validation, and creating meaningful reporting experiences.
- Experience integrating SaaS platforms and internal systems through APIs, automation tools, or direct application connections.
- High attention to quality, security, permissions, and proper handling of company and customer data in internal application development.
- Strong communication, documentation, prioritization, and ownership skills, with the ability to manage multiple internal application requests and drive them to completion.
This role offers the opportunity to work at the intersection of AI and product development, directly impacting operational efficiency and decision-making across the company. Candidates who thrive in dynamic environments and enjoy leveraging cutting-edge AI tools to solve real-world business problems will find this position particularly rewarding.
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KnowledgeCity
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