Software Engineer

5h ago

Company not listed

On-siteFull-time$120K – $150K

Job Overview

This listing is for a Software Engineer position. The role is on-site and is classified as full-time. For salary, the listing states $120. The requirements point towards PostgreSQL, Python, Vue.js, Docker, Artificial Intelligence and LLMs. The listing is aimed at the following profile: 0 to 3 years. For general context: Artificial intelligence is increasingly part of everyday software products. Large language models power many of today's AI assistants. Interested candidates can review the full details below and apply using the link provided on this page.

★ PostgreSQL: A relational database where data lives in related tables; the work usually involves writing SQL and designing schemas.
★ Python: Writing readable scripts and backend or data code using Python's standard library and common packages.
★ Vue.js: A progressive framework for building interactive interfaces with reactive data.
★ Docker: Packaging an application and its dependencies into containers so it runs the same way everywhere.
★ 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.

★ PostgreSQL: joins, indexes, transactions and constraints
★ Python: core data structures, functions and modules, virtual environments and pip
★ Vue.js: reactivity and computed values, components and props, routing and state management
★ Docker: Dockerfile basics, images versus containers, docker compose
★ 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 match the skills and experience described in the requirements. Applicants with working knowledge of PostgreSQL, Python, Vue.js, Docker, Artificial Intelligence and LLMs may feel well prepared for what the listing describes. Because the work is on-site, applicants who can reach the workplace regularly may find it more practical. This is editorial guidance only, and the employer makes the final decision on suitability.

Applicants may want to highlight relevant experience with PostgreSQL, Python, Vue.js and Docker 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: How do joins and indexes affect query performance in PostgreSQL?
Q: How do decorators and generators work in Python?
Q: How does reactivity work in Vue, and how do computed properties differ from watchers?
Q: What problem does Docker solve, and how do an image and a container differ?
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: What is a transaction, and why do ACID properties matter?
Q: How do lists, tuples, sets, and dictionaries differ in Python, and when would you use each?
Q: This role is based on-site. How do you collaborate with teammates in an office setting, and what does your availability look like?

Interested Candidates Fill the Application Form: