AI Specialist - Data & AI Team at SBT Global,… · Englewood…

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