Full-Stack Engineer: Build End-to-End AI Training Apps

AfterQuery

Oklahoma City (OK)

On-site

USD 70,000 - 110,000

Full time

42 hours ago
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Job summary

AfterQuery is crafting advanced AI data infrastructure and applications. As a Full Stack Engineer, you will build diverse, production-quality apps from scratch using Next.js, Redis, and SQL databases, shaping patterns across dashboards, management systems, and data-driven platforms.

You will implement authentication, data management, real-time features, reporting, and complex business logic while collaborating with a small, highly skilled team dedicated to pioneering AI training datasets.

Qualifications

  • Proficiency in Next.js for building modern frontend apps with SSR and API routes.
  • Experience with Redis for caching, session management, and real-time data handling.
  • Solid experience with SQL databases (PostgreSQL/MySQL) including schema design and optimization.
  • Ability to architect full stack apps leveraging Next.js, Redis and SQL in production.
  • Proven track record delivering complete, production-quality applications.

Responsibilities

  • Design and develop complete, production-quality applications from scratch across various domains using Next.js, Redis, and SQL databases
  • Build dashboards, management systems, workflow tools, and data-driven platforms demonstrating different patterns
  • Implement functionality including auth, data management, real-time features, reporting, and complex business logic

Skills

Next.js
Redis
SQL databases
Tailwind CSS
Full stack development

Tools

PostgreSQL
MySQL

Job description

AfterQuery is crafting advanced AI data infrastructure and applications. As a Full Stack Engineer, you will build diverse, production-quality apps from scratch using Next.js, Redis, and SQL databases, shaping patterns across dashboards, management systems, and data-driven platforms.

You will implement authentication, data management, real-time features, reporting, and complex business logic while collaborating with a small, highly skilled team dedicated to pioneering AI training datasets.

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