Job Description

Resource 1 is in need of a Sr. AI Data Engineer for a full-time/ permanent position with our client in Naperville, IL. This position can be worked 100% remotely from anywhere in the U.S. Our client is an employee-owned company with excellent benefits, growth opportunities and profit-sharing bonus. This position will be split 70% AI development/ 30% data engineering , supporting the development and deployment of AI use cases including chatbots, RAG pipelines and process automation . Selected individual will work within cross-functional Agile teams, collaborating with product owners, business analysts and other engineers to design and deliver data solutions that power business insights and AI products.

Responsibilities:

• Develop and support both ongoing AI initiatives and new POCs using LLMs, RAG pipelines and vector databases to enable chatbots, OCR, RPA (Power Automate) and predictive analytics.
• Partner with existing AI specialists to experiment with pre-trained models and build POCs for new AI use cases.
• Design, develop and maintain modern data pipelines for ingestion, transformation and integration using AWS services and Python.
• Write efficient SQL queries, stored procedures and functions in PostgreSQL and Redshift.
• Collaborate with product owners and analysts to translate business requirements into technical solutions.
• Participate in two-week sprints, contributing to coding, grooming and requirement workshops (75% hands-on coding, 25% collaboration).
• Manage infrastructure through infrastructure-as-code templates (Serverless Framework), supporting new data products and services in AWS.
• Support inbound and outbound data flows, including APIs, S3 replication and secure data sharing.

Qualifications:

• 5+ years of data engineering experience.
• Foundational understanding of LLMs, RAG and vector search, and hands-on experience using tools like ChatGPT or Claude.
• Knowledge of RPA tools such as Power Automate and AI-based automation use cases.
• Knowledge of model manipulation, augmentation and data indexing.
• Experience with AWS and its associated array of offerings (Glue, Redshift, Athena, S3, Lambda, Spectrum).
• Strong experience with SQL, Python and PySpark.
• A background in supply chain, logistics or distribution would be a plus.
• Experience with Power BI is a plus.

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