Software Engineering Intern, Full Stack

22h ago

⚠️ Before applying, please carefully review all the job requirements

Job Overview

A new opening is available for a Software Engineering Intern, Full Stack. According to the listing, this is a remote internship position. The listed schedule is Up to 40 hours per week. The salary mentioned in the listing is $40 – $45. The listing places its emphasis on TypeScript, React.js, SQL databases, REST APIs, Python, Artificial Intelligence and LLMs. For general context: React is a popular library for building interactive user interfaces. REST APIs let the front end and back end of an application exchange data in a structured way. Read the details below carefully and use the application link on this page if the role matches your profile.

★ TypeScript: Adds types to JavaScript so mistakes are caught earlier; day to day it means defining interfaces and typing function inputs and outputs.
★ React.js: Building user interfaces from reusable components and managing the data that changes on screen.
★ SQL databases: Working with tables, relationships and queries to store and retrieve structured data.
★ REST APIs: Designing and consuming HTTP endpoints so a front end, mobile app or another service can exchange data.
★ Python: Writing readable scripts and backend or data code using Python's standard library and common packages.
★ Artificial Intelligence: A general understanding of how AI systems learn from data, where they are useful, and where they can be unreliable.
★ LLMs: Understanding how large language models generate text from prompts, and why their output still needs to be checked.

★ TypeScript: interfaces versus type aliases, generics basics, typing API responses
★ React.js: components, props and state, useState and useEffect, lists, forms and conditional rendering
★ SQL databases: SELECT, JOIN and GROUP BY, primary and foreign keys, normalisation basics
★ REST APIs: HTTP methods and status codes, authentication basics such as tokens, validation and error responses
★ Python: core data structures, functions and modules, virtual environments and pip
★ Artificial Intelligence: supervised versus unsupervised learning, common real-world use cases, limitations and bias
★ LLMs: prompting basics, context limits and hallucinations, using an LLM API

This role may be suitable for candidates who are at the start of their career, such as recent graduates or final-year students, and want hands-on exposure to real projects. Those who are comfortable with TypeScript, React.js, SQL databases, REST APIs, Python, Artificial Intelligence and LLMs and enjoy building practical projects may find the requirements a good match. A remote arrangement may suit people who work well independently and communicate clearly in writing. This is editorial guidance only, and the employer makes the final decision on suitability.

Applicants may want to highlight relevant experience with TypeScript, React.js, SQL databases and REST APIs in their CV. If you have used AI tools or built small projects with language models, briefly describe what you built and how you checked the results. If you have limited work history, academic projects, personal builds, and open-source contributions can demonstrate practical ability. A short, role-specific summary at the top of your CV usually reads better than a generic profile. These are general tips, not requirements stated by the employer.

These suggested questions can help you prepare for an interview by focusing on the skills, responsibilities, and technical areas relevant to this role. They are for preparation only and are not confirmed employer questions.
Q: How do interfaces and type aliases differ, and when would you choose one over the other?
Q: How do state and props differ in React, and how do you decide where state should live?
Q: How would you design tables and relationships for a simple job-board application?
Q: What makes an API RESTful, and how do you choose HTTP methods and status codes for different operations?
Q: How do decorators and generators work in Python?
Q: How would you explain the difference between traditional programming and machine learning to a non-technical person?
Q: What benefits does TypeScript give over plain JavaScript on a team project, and what trade-offs have you noticed?
Q: How does useEffect work with its dependency array, and what mistakes do people commonly make with it?
Q: How do you stay organised and communicate clearly when working remotely?
Q: What are you hoping to learn in this role, and how have you prepared so far?

Ideal Candidates Fill the Application Form: Apply Here