About us:
At Cognira, we strongly believe that people are the biggest asset of our company. Our hand-picked team consists of passionate, collaborative, and forward-thinking individuals from all over the globe. We are passionate about making science easy and accessible to retailers, helping them get more value from people, data, and systems. We bring together expertise in retail, science, and scalable technologies to automate and enhance the quality of decision-making through software and consulting services.
We are proud to have a growing team of domain experts and data scientists, as well as a culture that fosters strong and long-lasting relationships with our clients.
Our Locations:
Our values:
Are you ready to grow with us? To find out more about Cognira, please visit our website at www.cognira.com
Please submit your resume in English.
I- Frontend Team Internship Topics:
Topic1 : A Visual Screen Builder with AI-Ready Design Handoff
Project Overview:
Cognira's design system is documented in Storybook, but Product Managers and UX designers currently require engineering support to assemble screens using available components. Additionally, design handoff between design and engineering teams remains a manual and error-prone process.
This project will create a visual screen builder that allows non-technical users to construct screens from existing Storybook components, generate structured specifications, and expose those specifications to AI coding agents through an MCP server.
Deliverables
Screen Builder Application
Screen Specification Framework
MCP Integration
Required Skills
Preferred Skills
Topic2: Interactive MCP Apps for PromoAI's Agent Cora
Project Overview
PromoAI is a SaaS platform that helps retailers plan, forecast, and analyze promotional performance. Its AI assistant, Cora, answers business users' questions in natural language, helping them understand forecasts, identify promotion conflicts, and gain insights into their promotional activities.
Cora can already be accessed through AI applications such as Claude using the Model Context Protocol (MCP), but responses are currently delivered as plain text. MCP Apps, a recent extension to the protocol, allow tools to return interactive web applications directly within AI chat experiences.
In this project, you will enhance Cora's user experience by building interactive MCP Apps that allow users to explore charts, sort and export tables, select products and stores, and interact with forecast data directly from their AI assistant. You'll work across both a TypeScript backend and a modern web frontend while validating the experience across multiple AI platforms.
Deliverables
Required Skills
Web Development
Fundamental Knowledge
Preferred Skills
II- Backend Team Internship Topics:
Topic 1: Test-Impact Selection Service
Project Overview
Currently, every code change triggers the entire test suite, even when only a small portion of the codebase is affected. This project aims to build an intelligent test-selection service that analyzes code changes, determines impacted areas, and executes only the relevant tests while providing clear explanations for each selection.
Deliverables
Required Skills
Preferred Skills
Topic 2: Human-in-the-Loop AI Development Assistant
Project Overview
As AI-generated code becomes increasingly common, developers need tools that provide visibility, review capabilities, and human oversight throughout the development process.
This project focuses on building a full-stack application that enables developers to review AI-generated code changes, request explanations, collaborate on reviews, and maintain control over AI-assisted development workflows.
Deliverables
Required Skills
Preferred Skills
Job details are sourced from the employer's original posting.
Open job postingAbout the company
Cognira makes science easy and accessible to retailers, helping them get more value from people, data, and systems. They automate and enhance decision-making through software and consulting services by combining expertise in retail, science, and scalable technologies.