Responsibilities

- Rapid Feature Prototyping: Use AI agents to move from a concept or "vibe" to a working MVP in hours, not weeks.

- Context Management: Expertly manage IDE context (using .cursorrules, MCP servers, or project indexing) to ensure AI outputs adhere to Kibo's specific architectural standards.

- Full-Stack Orchestration: Lead the development of complex .NET microservices and React frontends, utilizing AI to handle 80% of the manual coding while you focus on the critical 20% of logic and integration.

- AI-First Testing: Utilize AI to generate comprehensive test suites (nUnit, Jest, Playwright) that ensure high coverage and prevent regressions in an accelerated delivery workplace.

- Code Quality & Review: Act as the final gatekeeper, ensuring that AI-generated code is not just "functional" but follows SOLID principles, security best practices, and performance standards.

- Database & Messaging: Architect data solutions in PostgreSQL and MongoDB, using AI to optimize queries and implement RabbitMQ event patterns.

Requirements

- 7+ years of software engineering experience, with the last 1-2 years focused heavily on AI-augmented workflows.

- AI Mastery (Required): Deep expertise in prompt engineering, context engineering, and the use of AI Agents (e.g., Cursors Agent Mode,



GitHub Copilot Extensions, or specialized CLI agents).

- Latest .NET Expertise: Advanced knowledge of .NET 8/9+ and C#. You must know how to prompt for the latest syntax and framework features.

- React & Modern Web: Mastery of React, TypeScript, and modern state management (Zustand, TanStack Query).

- The "Kibo Stack": Proven experience with PostgreSQL, MongoDB, Redis, and RabbitMQ.

- Node.js Proficiency: Ability to navigate and build in Node.js environments when needed.

- Product Mindset: You dont just "take tickets"; you use AI to explore solutions and proactively propose feature improvements.

Preferred Skills

- Experience with Model Context Protocol (MCP) to connect AI tools to local and remote data sources.

- Familiarity with Agentic Frameworks (LangGraph, CrewAI) or custom AI-orchestration scripts.

- Experience in Performance Tuning for AI-generated code (e.g., identifying inefficient loops or redundant API calls).

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Senior Full Stack Engineer (Pune)
🏢 Kibo Commerce
📍 Pune