Junior AI Engineer: Hands-On AI & Product Impact

internetbrands; Newark (NJ); On-site; USD 60,000 - 90,000; Full time

Benefits offered by this job

Health insurance

401(k) retirement plan

Paid time off

Job summary

Internet Brands seeks an Associate AI Engineer for its Newark office to kickstart an AI-focused career within the Central AI team. You will collaborate across departments to design, develop, and deploy AI-powered tooling enabling smarter business decisions, with hands-on learning from day one.

You will contribute to building internal and client-facing AI solutions, gain exposure to DevOps practices, and expand your AI skillset through production deployment and maintenance tasks.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Applied Mathematics, or engineering discipline.
• Strong programming skills with an OO approach and secure coding practices.
• Experience with Generative AI models (GPT, Claude) and agents/Cli tools.
• Willingness to learn across the stack and collaborate with teams.
• Excellent verbal and written communication to document solutions.

Responsibilities

• Assist in design and documentation by understanding requirements and communicating updates clearly.
• Develop AI-enhanced products and internal/client solutions leveraging Agentic AI.
• Support deployment and validation in integration/production environments with basic DevOps processes.
• Troubleshoot issues and apply fixes to ensure smooth operation of applications.

Skills

OO programming

Generative AI

Agentic AI

Adaptability

Communication

Education

Bachelor's degree in CS/Data Science/Applied Math/Engineering

Tools

Git

Job description

Internet Brands seeks an Associate AI Engineer for its Newark office to kickstart an AI-focused career within the Central AI team. You will collaborate across departments to design, develop, and deploy AI-powered tooling enabling smarter business decisions, with hands-on learning from day one.

You will contribute to building internal and client-facing AI solutions, gain exposure to DevOps practices, and expand your AI skillset through production deployment and maintenance tasks.