Full-Stack Developer (AI cybersecurity platform MVP) - Part-time - WW

Role Overview

Join us as a Full-Stack Developer to lead the development of the MVP for cisoAI, an innovative AI-driven cybersecurity platform. This role requires a dynamic individual who can manage the entire development process, from backend architecture to frontend UI, working closely with the founders to set the technical direction and bring the product vision to life.

Responsibilities

• Translate product requirements into a functional MVP that meets business objectives.
• Take ownership of both backend components (APIs, integrations, databases) and frontend elements (dashboards, workflows, visualizations).
• Integrate with LLM APIs, such as OpenAI or Anthropic, to enable AI-driven features within the platform.
• Implement robust authentication systems, user management protocols, and role-based permissions.
• Deploy the application to a cloud environment (AWS, GCP, or Azure) with basic monitoring and scaling capabilities.
• Ensure secure coding practices are adhered to throughout the development process.
• Write clean, maintainable code with comprehensive documentation to facilitate future scaling and enhancements.

Required Skills

• Extensive full-stack development experience, particularly in a startup or MVP environment.
• Proficiency in backend development using Python (FastAPI, Flask, Django) or Node.js (Express, Nest.js).
• Expertise in frontend development with React or Next.js, or equivalent frameworks.
• Experience with cloud deployment on AWS, GCP, or Azure, and containerization using Docker.
• Strong database management skills with Postgres, MongoDB, or similar technologies.
• Familiarity with integrating LLM/AI APIs.
• Solid understanding of REST/GraphQL APIs and security best practices.
• Ability to work independently and take full ownership of the delivery cycle.

Nice to Have

• Experience in cybersecurity SaaS or familiarity with SOC tools, vulnerability management, or compliance.
• Experience setting up CI/CD pipelines.
• Knowledge of infrastructure-as-code tools like Terraform or Pulumi.
• Skills in data visualization using Chart.js, D3.js, or similar libraries.