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# Lead Full-Stack Software Engineer, AI Matchmaking

- **Company:** Ai, Inc
- **Location:** Mount Pleasant Township, PA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Software Applications, Distributed Systems, PostgreSQL, Prism (Software), Software Architecture, Next.js, Software Engineering, Systems Integration, TypeScript, Tailwind, ReactJS, Large Language Models, NestJS, Restful APIs
- **Published:** October 16, 2026
- **Apply:** https://www.juju.com/job/2_164759802

## About the Role

This is a hands-on, high-ownership role for a Staff/Lead-level engineering leader who can build quickly, make strong technical decisions, and help turn an early product thesis into a working product., * 8-10+ years of professional software engineering experience

 * Experience designing scalable APIs and distributed systems
 * Experience building AI-powered applications, workflows, or integrations using modern LLM technologies
 * Strong understanding of software architecture, xrbllit testing, and maintainability
 * Ability to balance speed, quality, and pragmatic decision-making
 * Excellent communication and collaboration skills
 * Interest in mentoring junior engineers
 * Experience with 0 to 1 initiatives

Required Skills

 * Proficiency in TypeScript
 * Experience with NextJS, React, TailwindCSS, tRPC
 * Experience with NestJS, Prisma, Postgres
 * Familiarity with AWS and GCP

Preferred Skills

 * Experience with recommendation or matching systems, marketplaces, or personalization
 * Prior experience at an early or growth-stage startup
 * CS degree or related technical degree

## Description

* Design, build, and maintain full-stack applications that shape the future of the dating landscape
 * Partner closely with Product, Design, Data, and Matchmaking teams to translate business needs into scalable solutions
 * Spearhead architectural decisions that help shape the future of our platform
 * Develop AI-powered features and workflows to improve customer experiences and internal operations
 * Build high-quality, maintainable systems that prioritize performance, reliability, and scalability
 * Improve engineering processes, development standards, and technical best practices
 * Mentor other engineers and contribute to a culture of technical excellence
 * Partner with our ML team to integrate models directly into the product experience