Qogita [Ko-gi-ta] is on a mission to keep retailers competitive by modernizing how wholesale procurement is done. The team is committed to building the rails to ensure small-businesses have the ability to acquire goods at competitive prices and at ease, so they can focus on creating great customer experiences. We are one of the fastest growing B2B companies globally and are backed by top investors that have backed the likes of Facebook, Etsy, Shopify and others.

Our team is small, highly motivated and focused on delivering impact. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important.

• You are a driven and curious individual currently finalizing studies for, or recently graduated with a degree in Artificial Intelligence, Computer Science, Data Science, or related discipline.
• You are a strong communicator in English.
• You are eager to gain real-world experience, develop new skills, and a meaningful impact in a dynamic, fast-paced environment.
• You have a “get things done” attitude, and you are eager to learn and overcome any challenges to accomplish your tasks.
• You take ownership, ask questions, and care about delivering polished, reliable outputs.
• You've shipped LLM-powered tools and iterated on them with evidence, evals & other feedback loops.
• You write clearly, and you've spent enough time talking to AI to know that wording matters. You've felt the gap between a sloppy instruction and a clear one.
• You've used Git and GitHub on a real project. You can navigate a repo you didn't write, open a pull request, take review feedback, and ask before changing something you're not sure about.
• Available to join May/early June 2026

• Contribute ideas for improving scalability, usability, and adoption of internal AI systems.
• Help design, test, and improve AI workflows and agents used across multiple departments.
• Run small-scale prompting and workflow experiments, summarize results, and suggest improvements.
• Collaborate with internal stakeholders to translate team needs into simple AI solutions.
• Support team adoption of AI tools by creating guides, templates, and internal documentation.