Associate AI Solutions Developer: Early-Career & Data Focus

Building Service 32BJ Benefit Funds; New York (NY); On-site; USD 91,000 - 107,000; Full time

Job summary

Building Services 32BJ Benefit Funds is seeking an Associate AI Solutions Developer in New York, NY. This early-career role focuses on using Python and AI platforms to build, test, and improve applications and workflows, including ML and LLM components, with code review and validation of AI-generated work.

You’ll work under the Manager, Data Science, taking assignments from clarification through implementation, testing, and documentation, with weekly coaching and daily progress updates.

Qualifications

• 1–3 years of professional experience in software development, data, analytics, automation or related technical field.
• Experience writing and debugging Python scripts or small application features that process data, automate tasks, or connect systems.
• Experience with AI tools in software development through work, internship, coursework, or personal project.
• Familiarity with Git or another version-control tool for tracking changes.

Responsibilities

• Understand business needs with supervisor and teammates; define priorities and clarify requirements.
• Complete assignments through implementation, testing and documentation with feedback.
• Build and improve small applications, agents, and AI-assisted workflows.
• Write and debug Python scripts or features that process data and automate tasks.

Skills

Python scripting

AI assistance

Problem solving

Education

Bachelor’s degree in Computer Science, Data Science, Engineering, or related STEM field

Tools

GitHub

Databricks

Azure DevOps

SQL

Job description

Building Services 32BJ Benefit Funds is seeking an Associate AI Solutions Developer in New York, NY. This early-career role focuses on using Python and AI platforms to build, test, and improve applications and workflows, including ML and LLM components, with code review and validation of AI-generated work.

You’ll work under the Manager, Data Science, taking assignments from clarification through implementation, testing, and documentation, with weekly coaching and daily progress updates.