AI Training Full-Stack Engineer (Next.js + Redis + SQL)

AfterQuery; Cambridge (MA); On-site; USD 120,000 - 180,000; Full time

Job summary

AfterQuery in Cambridge, MA is seeking a Full Stack Engineer to build production-quality applications across diverse domains using Next.js, Redis, and SQL.

You will implement authentication, data management, real-time features, reporting, and complex business logic while collaborating across teams. The role emphasizes scalable, end-to-end solutions that contribute to AI training datasets.

Qualifications

• Strong proficiency in Next.js including server-side rendering and API routes.
• Experience with Redis for caching and real-time data handling.
• Solid experience designing and working with SQL databases (PostgreSQL, MySQL, or similar).
• Ability to architect full stack applications that leverage Next.js, Redis, and SQL in production.
• Experience implementing efficient data flows between frontend, caching layer, and database.
• Tailwind CSS for rapidly building responsive, utility-first interfaces.
• 2+ years of professional experience raising the bar for reliability.

Responsibilities

• Design and develop complete, production-quality applications from scratch across various domains and use cases using Next.js, Redis, and SQL databases.
• Build diverse application types including dashboards, management systems, workflow tools, and data-driven platforms that demonstrate different feature sets and architectural patterns.
• Implement comprehensive functionality in each application including user authentication, data management, real-time features, reporting, and complex business logic.

Skills

Next.js

Redis

SQL databases

Tailwind CSS

2+ years

Job description

AfterQuery in Cambridge, MA is seeking a Full Stack Engineer to build production-quality applications across diverse domains using Next.js, Redis, and SQL.

You will implement authentication, data management, real-time features, reporting, and complex business logic while collaborating across teams. The role emphasizes scalable, end-to-end solutions that contribute to AI training datasets.