Junior AI Engineer

21h ago

⚠️ Before applying, please carefully review all the job requirements

Job Overview

This listing is for a Junior AI Engineer position. The role is remote and is classified as internship. For salary, the listing states rs,. The requirements point towards SQL databases, REST APIs, Git and GitHub, Python, AWS, Artificial Intelligence and LLMs. For general context: REST APIs let the front end and back end of an application exchange data in a structured way. Git tracks code changes so teams can work on the same project without overwriting each other. Interested candidates can review the full details below and apply using the link provided on this page.

★ 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.
★ Git and GitHub: Tracking changes, working on branches, opening pull requests and resolving conflicts so a team can share code safely.
★ Python: Writing readable scripts and backend or data code using Python's standard library and common packages.
★ AWS: Using cloud platform services for hosting, storage and databases instead of managing physical servers.
★ 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.

★ 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
★ Git and GitHub: branching and merging, pull requests and code review, resolving merge conflicts
★ Python: core data structures, functions and modules, virtual environments and pip
★ AWS: core compute and storage services, permissions and access control, basic deployment
★ 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. Applicants with working knowledge of SQL databases, REST APIs, Git and GitHub, Python, AWS, Artificial Intelligence and LLMs may feel well prepared for what the listing describes. 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 SQL databases, REST APIs, Git and GitHub and Python in their CV. Because version control is mentioned, a GitHub profile with a few well-described repositories can make your skills easier to verify. 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. Keep your CV to the point and tailor the summary to this role rather than sending a generic version. 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: What is the difference between INNER JOIN and LEFT JOIN, and when would you use each?
Q: How would you handle authentication and input validation for a REST API you are building?
Q: What is the difference between git merge and git rebase, and when would you use each?
Q: How do decorators and generators work in Python?
Q: Which cloud services have you used for hosting or storage, and how did you choose them?
Q: Where could AI add value to a typical web application, and what risks should you plan for?
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 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