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Company Description
Memnox is building the organisational memory and intelligence layer for AI-native engineering teams.
We connect engineering tools like GitHub, Slack, Jira/Linear, CI/CD pipelines, and meetings into a unified context graph that helps AI systems and developers understand how software is built, why decisions were made, and how to act with full organisational awareness.
Through MCP integrations, APIs, and AI agent workflows, Memnox powers contextual PR reviews, incident reasoning, autonomous debugging, and intelligent development workflows across engineering teams.
We are an early-stage remote startup building foundational infrastructure for the next generation of AI-driven software engineering.
Role Description
This is a full-time remote role for an AI Infrastructure / Full-Stack Engineer specializing in TypeScript, microservices, and AI systems. In this role, you will be responsible for designing, building, and maintaining back-end infrastructures and front-end interfaces to support innovative AI solutions. This includes developing and scaling microservices, ensuring efficient system communication, and creating responsive user interfaces. You will collaborate with cross-functional teams to implement features, optimize system performance, and ensure integration with modern development tools. Additionally, you will contribute to the overall software strategy to enhance the user experience and project insight capabilities.
Qualifications
- Expertise in Full-Stack Development, including proficiency in both Back-End Web Development and Front-End Development.
- Proficiency in Software Development, with a focus on scalable and reliable system design.
- Experience with TypeScript, Cascading Style Sheets (CSS), and modern web technologies.
- Familiarity with microservices architecture and integrating AI systems.
- Strong problem-solving skills and ability to optimise system performance.
- Excellent collaborative and communication skills for cross-functional teamwork.
- Bachelor's degree in Computer Science, Software Engineering, or a related field.
- Experience in AI-related projects or tools is a plus.
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