AI Data Engineer

Location: Tennessee, remote-OK
Role: AI Data Engineer
Mandatory Skills- Python, AI/ML
Retail domain experience is highly preferable.

JD:
We are seeking an experienced AI Data Engineer (15+ Years) to design, develop, and manage scalable data platforms that enable advanced analytics, Machine Learning (ML), and Generative AI solutions.
The ideal candidate will build robust data pipelines, ensure data quality, and integrate AI/ML capabilities into enterprise data ecosystems.
Key Responsibilities
Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data.
Build and optimize data lakes, data warehouses, and AI-ready data platforms.
Develop ingestion, transformation, and orchestration frameworks using cloud-native technologies.
Prepare, cleanse, and engineer datasets for AI/ML and Generative AI workloads.
Integrate Large Language Models (LLMs), vector databases, embeddings, and RAG (Retrieval-Augmented Generation) pipelines into enterprise solutions.
Implement data governance, security, lineage, and quality controls.
Collaborate with Data Scientists, AI Engineers, Business Analysts, and Solution Architects.
Monitor, troubleshoot, and optimize data pipelines and platform performance.
Automate deployment, testing, and monitoring of data engineering workflows.
Create technical documentation and data dictionaries for enterprise data assets.


Required Skills
Technical Skills
Python, SQL, PySpark
ETL/ELT development
Data Modeling (Star Schema, Snowflake Schema)
Apache Spark, Databricks
Airflow, Dataflow, Informatica, ADF, Synapse, or equivalent tools
Relational & NoSQL Databases
Data Warehousing concepts
REST APIs and Microservices
Git, CI/CD, DevOps practices


AI & GenAI Skills
Machine Learning fundamentals
Data preparation for AI models
Vector Databases (Pinecone, ChromaDB, FAISS)
LLM Integration (OpenAI, Azure OpenAI, Gemini, Claude, etc.)
RAG Architecture
Embeddings and Semantic Search
Prompt Engineering fundamentals

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.