Full Stack Engineer

Technography.ai helps the AI Infra & the Devtool industry understand real-time technology signals to identify fit, intent, adoption, gaps, and opportunities in the market. The platform tracks who is using, adopting, migrating, evaluating, and building around specific technologies, as well as hiring and sentiment indicators.

Launched 1.5 months ago. Already at $20+ MRR, with 48+ companies on the platform and backing from top angels across the developer ecosystem.

Role Description This is a full-time role for a Full Stack Engineer. The engineer will design, build, and maintain scalable web applications that power Technography.ai’s technology intelligence platform.

Day-to-day responsibilities include implementing front-end interfaces, developing and optimizing back-end APIs and services, integrating data sources, and ensuring application reliability and performance. The role will collaborate closely with product, data, and design teams to translate requirements into secure, maintainable code and participate in code reviews, testing, and continuous improvement of the engineering stack. The engineer will also help refine architecture, improve developer tooling, and contribute to technical documentation and best practices.

Qualifications

• Demonstrated Full-Stack Development experience, with the ability to work across front-end and back-end systems.
• Strong Front-End Development skills, including proficiency with modern JavaScript frameworks and Cascading Style Sheets (CSS).
• Proven Back-End Web Development skills, including building APIs, working with databases, and ensuring application security and scalability.
• Solid Software Development fundamentals, including data structures, algorithms, testing, and version control (e.g., Git).
• Experience with cloud platforms (e.g., AWS, GCP, or Azure) and modern CI/CD practices is highly beneficial.
• Comfort working in remote, cross-functional teams, with clear communication and documentation skills.
• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience is preferred.
• Prior experience in data-intensive or analytics products is a plus.