Job Description

AI Specialist – Data & AI Team

Key Highlights (What Matters Most)

• Role: AI Specialist with focus on Data Engineering + LLMs (GenAI)
• Tech Stack: GCP (BigQuery, Vertex AI, Gemini), Python, SQL
• Impact: Drive AI-powered insights for logistics & return data
• Experience: 3–5 years required
• Location: On-site – Englewood Cliffs, NJ
• Salary: $67K–$80K + Bonus + Full Benefits (100% healthcare covered)

Benefits

• 100% covered healthcare (medical, dental, vision)
• 401(k) with company match
• Bonus eligible
• Free lunch / stipend + phone reimbursement
• Compnay product discounts + education support

About the Role

We are looking for a highly skilled AI Specialist to design, build, and scale AI-driven data platforms on Google Cloud.

This role is focused on:

• Turning large-scale logistics & return data into actionable insights
• Building modern data pipelines + AI solutions using LLMs
• Supporting On-Time Delivery initiatives and advanced return analytics

You’ll collaborate with our branch office and HQ and contribute directly to business-critical decisions.

1. Data Engineering (GCP)

• Build and scale data pipelines on GCP (BigQuery)
• Automate data ingestion, transformation, and validation
• Ensure data quality, reliability, and performance
• Maintain web crawling & external data systems

2. AI / LLM Development

• Develop LLM-powered systems (summarization, classification, insights)
• Work with Vertex AI, Gemini API
• Build RAG pipelines + prompt engineering solutions
• Continuously improve models based on business feedback

3. Analytics & Business Impact

• Analyze return trends & delivery performance
• Deliver insights through Looker / Streamlit dashboards
• Translate complex data into clear business recommendations
• Support logistics, customer experience, and operational efficiency

Qualifications

Core Requirements

• 3–5 years experience in Data Engineering / AI / Analytics
• Strong Python + advanced SQL
• Hands-on experience with GCP (BigQuery preferred)

AI / LLM Skills (Key Focus)

• Experience with LLMs & NLP applications
• Knowledge of RAG architectures
• Ability to solve real-world data problems using AI

Additional Information

All your information will be kept confidential according to EEO guidelines.