IT Engineer,Software,Entry

Technical duties

• Design and develop scalable web applications using React.js, Next.js, Redux, JavaScript/TypeScript, and Django/Python
• Integrate applications with Large Language Models and AI platforms such as Azure OpenAI, OpenAI, or Anthropic
• Implement RAG solutions using vector databases and embeddings for intelligent search and knowledge retrieval
• Perform unit, integration, and end-to-end testing following software engineering best practices
• Support monitoring, observability, and secure coding guidelines for deployed applications

Project responsibilities

• Building responsive enterprise web applications using React.js, Next.js, and Django
• Developing AI-powered productivity tools, chatbots, and copilots integrated with LLMs
• Implementing Retrieval-Augmented Generation (RAG) solutions using vector databases and enterprise data sources

A typical day (Karyvio’s outline for this kind of role — not an employer commitment)

• Attend daily Agile stand-ups and sprint planning sessions with the engineering team
• Write and test code for React frontends and Django backend APIs
• Participate in code reviews and incorporate feedback from senior engineers
• Troubleshoot, debug, and resolve application issues or bugs
• Document technical implementation details and API endpoints

Skills that matter, and why

• React.js

  Crucial for building interactive, dynamic, and component-driven user interfaces for enterprise web applications.

  How to learn it: Build single-page apps focusing on hooks, context API, custom hooks, and state management best practices.

• Next.js

  Enables server-side rendering, static site generation, and optimized routing for high-performance production web apps.

  How to learn it: Explore the App Router, data fetching methods, and API routes by deploying full-stack projects on Vercel.

• Python & Django

  Serves as the backend foundation for structuring robust business logic, database models, and secure API endpoints.

  How to learn it: Build Django web apps, write custom middleware, utilize Django ORM, and secure endpoints using JWT authentication.

• REST APIs

  Facilitates seamless communication between the frontend interface and backend services or external AI platforms.

  How to learn it: Design and document RESTful endpoints using Django REST Framework, ensuring proper status codes and error handling.

• Generative AI & LLMs

  Enables the integration of smart assistants, automated workflows, and intelligent search capabilities into web solutions.

  How to learn it: Experiment with OpenAI or open-source LLM APIs, practice prompt engineering, and learn how RAG pipelines retrieve context.

Preparation plan

1. Strengthen your understanding of modern JavaScript (ES6+) and TypeScript type definitions.
2. Build practice full-stack applications connecting a React or Next.js frontend with a Python Django backend.
3. Learn the basics of SQL databases, writing queries, and handling database migrations.
4. Understand Git version control workflows, branching strategies, and collaborative pull request practices.
5. Familiarize yourself with Generative AI building blocks, such as calling LLM APIs, handling embeddings, and basic vector database operations.

Project ideas to show you can do the job

Interview guidance

• Review core concepts of JavaScript, TypeScript, and Python, ensuring you can write clean and modular code.
• Be prepared to explain state management in React, component lifecycles, and Server-Side Rendering benefits in Next.js.
• Brush up on backend fundamentals with Django, including ORM usage, URL routing, and building secure REST APIs.
• Brush up on basic concepts of Large Language Models, prompt engineering, and how Retrieval-Augmented Generation (RAG) works in practice.
• Be ready to walk through your past academic projects, personal apps, or internships, explaining your contribution and code architecture.