TL;DR

Software Engineer (AI): Developing and maintaining AI-powered features and large-scale data applications using LLMs and AI tools, with an accent on fullstack development, cloud infrastructure, and AI integration. Focus on designing, building, and delivering high-quality software solutions, collaborating cross-functionally, and enhancing CI/CD pipelines.

Location: Remote (United States)

Salary: $107,500 - $140,000

Company

%hirify_global% builds AI-powered tools to support social good organizations, enabling over 15,000 nonprofits and powering philanthropic efforts of more than 50% of the Fortune 100.

What you will do

Maintain and improve technical health and quality of existing and new AI-powered product features.
Plan and execute sprint cycles, own release processes, and coordinate sprint reviews and demos.
Collaborate with product management, data science, and engineering teams to define features and manage project scope.
Design and deliver large-scale data applications using LLMs and AI tools.
Continuously improve product technologies, staying current with AI, machine learning, and data science trends.
Create documentation and training materials to support team efficiency and onboarding.
Work with DevOps and SaaS teams to implement and maintain CI/CD pipelines.
Foster a positive company culture emphasizing collaboration and trust.

Requirements

Must be located in the United States or able to work remotely within the US.
2+ years of fullstack software development experience including design patterns and data structures.
Proficiency with Django, Python, Postgres, AWS ECS, and AWS cloud infrastructure including automation and orchestration.
Strong cross-functional communication skills to collaborate with data science and product teams.
Experience with Agile methodologies and ceremonies.
Strong problem-solving skills focused on AI and software engineering challenges; proficient with AI tools and prompt engineering.
Attention to detail and constructive communication in code reviews.

Nice to have

Bachelor’s degree in Computer Science, Data Engineering, or equivalent experience.
Front-end experience with React, Typescript, and Node.
Experience integrating AI into DevOps practices and CI/CD pipelines using tools like ChatGPT, Cursor, Claude Code, or Windsurf.

Culture & Benefits

Work with cutting-edge AI tools on projects with real-world impact.
Culture of innovation, learning, and collaboration.
Competitive compensation and benefits package.

Hiring process

Part of a bargaining unit represented by CWA Local 1400, 2336, or 13000.
Employment authorization sponsorship is not available.