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# Software Engineer - AI Trainer

- **Company:** AfterQuery
- **Location:** Mount Laurel Township, NJ, United States
- **Experience:** Starter
- **Salary:** $124,800.0 - $166,400.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Code Review, Continuous Integration, Data Structures, Software Debugging, Github, Software Engineering, Google Cloud, Backend, Git, Information Technology, Free and Open-Source Software, Front End Software Development, Software Version Control, Service Stack, Programming Languages
- **Published:** October 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=2eef760fe43acf8c

## About the Role

* 1-3 years of professional software engineering experience in a full-time or equivalent role
 * Strong proficiency in at least one modern programming language and its associated ecosystem
 * Demonstrated ability to independently scope, implement, and deliver software features or fixes
 * Solid understanding of software engineering fundamentals including data structures, algorithms, and system design
 * Bachelor's degree or higher in Computer Science, Software Engineering, or a related technical field (or equivalent practical experience), * Experience working across multiple layers of the stack - frontend, backend, APIs, or infrastructure
 * Familiarity with version control workflows, CI/CD pipelines, and collaborative development practices (e.g., Git, GitHub Actions, or similar)
 * Exposure to cloud platforms and deployment environments (e.g., AWS, GCP, Azure, or similar)
 * Background in contributing to open source projects or building personal software projects independently

## Description

* Design, implement, and ship clean, well-tested code across a variety of projects and technology stacks
 * Debug, refactor, and optimize existing codebases for performance, maintainability, and scalability
 * Participate in code reviews, providing and incorporating constructive technical feedback
 * Collaborate asynchronously on technical specifications, architecture decisions, and implementation plans
 * Document code, APIs, and technical approaches clearly and reproducibly