AI Software Engineer

Aspire Software

About the Role :
The AI Product Engineer is an AI-first builder responsible for understanding problems and using AI to design, build, and iterate on working product solutions. This role does not operate within legacy software development models such as story points, handoffs, or rigid SDLC phases. The AI Product Engineer moves directly from problem understanding to building functional solutions using AI as the primary execution medium. This role is foundational in AI Pods and serves as the execution backbone for AI-native product development.

Key Responsibilities

AI-First Product Building

• Build working product solutions using AI as the default execution approach
• Rapidly prototype, iterate, and refine solutions to validate ideas quickly
• Use AI agents to generate designs, implementations, and tests
• Move from problem understanding directly to implementation without legacy SDLC constraints

Problem Analysis & Solution Design

• Analyze problems deeply before execution
• Break down ambiguous problems into solvable components
• Explore multiple solution approaches using AI
• Make informed tradeoffs between speed, quality, and feasibility

Customer-Facing Execution Support

• Participate in customer demos and presentations of working solutions
• Explain how solutions work and why specific design decisions were made
• Incorporate customer feedback directly into rapid iterations

Quality, Testing & Iteration

• Ensure solutions meet functional and non-functional expectations
• Use AI to generate unit, integration, and UI tests
• Iterate continuously based on feedback and observed behavior

What This Role Is Not

• Not a traditional software developer role focused on ticket execution
• Not limited to coding tasks handed off from product managers
• Not bound by story points, sprint rituals, or rigid SDLC stages

Core Capabilities

• Strong ability to build working software using AI tools
• Experience rapidly prototyping and iterating on product ideas
• Understanding of AI system behavior and limitations
• Ability to reason about systems end-to-end

Technical & Product Skills

• Comfort moving from problem statement to implementation independently
• Ability to evaluate and improve AI-generated outputs
• Strong debugging and problem-solving skills
• Understanding of software quality, testing, and maintainability