Associate Software Developer (AI)

Location: 100% remote anywhere in the United States

Company

hirify.global develops data quality, data enrichment, and location intelligence software, with an AI-first approach to building products and solving customer problems.

What you will do

• Assist with designing, developing, and maintaining scalable AI-enabled applications.
• Work with team members to understand requirements and implement features using modern programming languages.
• Define and validate data models with Pydantic and write clean, documented object-oriented code.
• Participate in code reviews, incorporate feedback, and troubleshoot basic technical issues.
• Support testing and CI/CD processes.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent experience.
• At least 1 year of experience building enterprise-level software.
• Solid proficiency in at least one modern general-purpose language: Python, TypeScript/JavaScript, Java, C#, or Go.
• Working knowledge of object-oriented programming principles and design patterns.
• Experience building or consuming REST APIs.
• Familiarity with a relevant framework or library, such as FastAPI, Django, Flask, Node.js/Express, NestJS, Spring Boot, .NET, or React.
• Knowledge of large language models and experience with AI coding assistants such as Claude Code or GitHub Copilot.
• Strong problem-solving and communication skills, willingness to take initiative and accept feedback, and ability to work effectively in a team and follow instructions.

Nice to have

• Exposure to frontend and backend web development, including building and consuming APIs.
• Familiarity with Git and unit or integration testing.
• Exposure to data engineering concepts.
• Exposure to AWS, GCP, or Azure, Docker, and CI/CD tooling.

Culture & Benefits

• Fully remote work from anywhere in the United States.
• Collaborative, fast-paced environment with guidance from experienced developers.
• Opportunities to learn new languages, frameworks, and tools as the technology stack evolves.
• Work on real projects related to AI, data integrity, data quality, data enrichment, and location intelligence.