Senior Full Stack Engineer

Role Overview: As a Senior Full Stack Engineer specializing in AI-assisted development, your main responsibility will be to build and scale the commerce platform using .NET Core and React efficiently. You will play a crucial role in defining patterns that enable AI to generate high-quality, testable, and secure code consistently. Key Responsibilities: - Rapid Feature Prototyping: Utilize AI agents to swiftly move from concept to a working MVP in a matter of hours. - Context Management: Expertly manage IDE context to ensure AI outputs align with Kibo's architectural standards. - Full-Stack Orchestration: Lead the development of .NET microservices and React frontends while leveraging AI for manual coding, focusing on critical logic and integration. - AI-First Testing: Generate comprehensive test suites using AI to ensure high coverage and prevent regressions in an accelerated delivery environment. - Code Quality & Review: Act as the final gatekeeper to ensure AI-generated code follows SOLID principles, security best practices, and performance standards. - Database & Messaging: Architect data solutions in PostgreSQL and MongoDB, optimizing queries and implementing RabbitMQ event patterns utilizing AI. Qualifications Required: - 7+ years of software engineering experience, with a strong focus on AI-augmented workflows in the last 12 years. - AI Mastery: Profound expertise in prompt engineering, context engineering, and the use of AI Agents such as Cursor's Agent Mode, GitHub Copilot Extensions, or specialized CLI agents. - Latest .NET Expertise: Advanced knowledge of .NET 8/9+ and C#, with the ability to prompt for the latest syntax and framework features. - React & Modern Web: Mastery of React, TypeScript, and modern state management like Zustand and TanStack Query. - The "Kibo Stack": Demonstrated experience with PostgreSQL, MongoDB, Redis, and RabbitMQ. - Node.js Proficiency: Ability to navigate and build in Node.js environments. - Product Mindset: Proactive approach to exploring solutions and proposing feature improvements using AI. Preferred Skills: - Experience with Model Context Protocol (MCP) for connecting AI tools to data sources. - Familiarity with Agentic Frameworks like LangGraph, CrewAI, or custom AI-orchestration scripts. - Experience in Performance Tuning for AI-generated code by identifying inefficient loops or redundant API calls. (Note: The additional details about Kibo Commerce have been omitted in this summary.) Role Overview: As a Senior Full Stack Engineer specializing in AI-assisted development, your main responsibility will be to build and scale the commerce platform using .NET Core and React efficiently. You will play a crucial role in defining patterns that enable AI to generate high-quality, testable, and secure code consistently. Key Responsibilities: - Rapid Feature Prototyping: Utilize AI agents to swiftly move from concept to a working MVP in a matter of hours. - Context Management: Expertly manage IDE context to ensure AI outputs align with Kibo's architectural standards. - Full-Stack Orchestration: Lead the development of .NET microservices and React frontends while leveraging AI for manual coding, focusing on critical logic and integration. - AI-First Testing: Generate comprehensive test suites using AI to ensure high coverage and prevent regressions in an accelerated delivery environment. - Code Quality & Review: Act as the final gatekeeper to ensure AI-generated code follows SOLID principles, security best practices, and performance standards. - Database & Messaging: Architect data solutions in PostgreSQL and MongoDB, optimizing queries and implementing RabbitMQ event patterns utilizing AI. Qualifications Required: - 7+ years of software engineering experience, with a strong focus on AI-augmented workflows in the last 12 years. - AI Mastery: Profound expertise in prompt engineering, context engineering, and the use of AI Agents such as Cursor's Agent Mode, GitHub Copilot Extensions, or specialized CLI agents. - Latest .NET Expertise: Advanced knowledge of .NET 8/9+ and C#, with the ability to prompt for the latest syntax and framework features. - React & Modern Web: Mastery of React, TypeScript, and modern state management like Zustand and TanStack Query. - The "Kibo Stack": Demonstrated experience with PostgreSQL, MongoDB, Redis, and RabbitMQ. - Node.js Proficiency: Ability to navigate and build in Node.js environments. - Product Mindset: Proactive approach to exploring solutions and proposing feature improvements using AI. Preferred Skills: - Experience with Model Context Protocol (MCP) for connecting AI tools to data sources. - Familiarity with Agentic Frameworks like LangGraph, CrewAI, or custom AI-orchestration scripts. - Experience in Performance Tuning for AI-generated code by identifying inefficient loops or redundant API calls. (Note: The additional details about Kibo Commerce have been omitted in this summary.)