Full Stack Engineer

7h ago

Pogo

RemoteFull-timeNegotiable

Job Overview

This listing is for a Full Stack Engineer position. The role is remote and is classified as full-time. For salary, the listing states rs,. The requirements point towards REST APIs, Artificial Intelligence and LLMs. The listing is aimed at the following profile: 2-4 years. For general context: REST APIs let the front end and back end of an application exchange data in a structured way. Artificial intelligence is increasingly part of everyday software products. Interested candidates can review the full details below and apply using the link provided on this page.

★ REST APIs: Designing and consuming HTTP endpoints so a front end, mobile app or another service can exchange data.
★ 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.
★ AI tools: Using AI assistants to speed up everyday work while still reviewing the result yourself.

★ REST APIs: HTTP methods and status codes, authentication basics such as tokens, validation and error responses
★ 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
★ AI tools: writing clear prompts, reviewing generated code, knowing when not to trust the output

This role may be suitable for candidates who match the skills and experience described in the requirements. Applicants with working knowledge of REST APIs, 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 REST APIs, Artificial Intelligence and LLMs 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. 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 makes an API RESTful, and how do you choose HTTP methods and status codes for different operations?
Q: Where could AI add value to a typical web application, and what risks should you plan for?
Q: How would you explain what a large language model is, and where can its answers be unreliable?
Q: Which AI tools do you use in your development workflow, and how do you verify their output before relying on it?
Q: How would you handle authentication and input validation for a REST API you are building?
Q: How would you explain the difference between traditional programming and machine learning to a non-technical person?
Q: How would you design a prompt and validate the output when using an LLM inside an application?
Q: How do you stay organised and communicate clearly when working remotely?

Interested candidates can share their details on given application: