Senior GenAI Data Engineer (AWS & LLM Ops)

Tiger Analytics Inc.; Dallas (TX); On-site; USD 140,000 - 180,000; Full time

Job summary

Tiger Analytics Inc. is seeking an experienced Senior Data Engineer to join our team, focusing on building scalable Generative AI architectures within the AWS ecosystem. You will architect the data foundations that power LLMs and autonomous agents for our Fortune 500 partners.

The role centers on designing GenAI data pipelines, vector search, and modern data stack components while delivering scalable, production-grade infrastructure across AWS services.

Qualifications

• 8–12 years of Data Engineering experience with a heavy focus on the AWS Cloud stack.
• Deep hands-on experience with Glue, Athena, EMR, and Redshift.
• Proficiency in LangChain or LlamaIndex integrated with AWS services to handle unstructured data (text, images, PDFs).
• Experience deploying infrastructure using AWS CDK or Terraform.
• Advanced SQL, Python and PySpark skills tailored for distributed processing on AWS.

Responsibilities

• GenAI Infrastructure: Architect data pipelines using Amazon Bedrock and SageMaker to build, deploy, and scale Generative AI applications.
• Vector Foundations: Implement and optimize vector search capabilities using OpenSearch Serverless or vector engines for RAG.
• Serverless Data Engineering: Build scalable, event-driven ETL pipelines using AWS Lambda, AWS Glue, and Amazon Kinesis.
• Modern Data Stack: Manage large-scale data lakehouses leveraging S3, Lake Formation, and Redshift.
• LLM Ops: Automate fine-tuning and deployment of foundation models with Step Functions and SageMaker Pipelines.

Skills

Advanced SQL

Python

PySpark

Distributed processing on AWS

Tools

AWS Glue

Amazon Athena

Amazon EMR

Amazon Redshift

LangChain

LlamaIndex

AWS CDK

Terraform

Job description

Tiger Analytics Inc. is seeking an experienced Senior Data Engineer to join our team, focusing on building scalable Generative AI architectures within the AWS ecosystem. You will architect the data foundations that power LLMs and autonomous agents for our Fortune 500 partners.

The role centers on designing GenAI data pipelines, vector search, and modern data stack components while delivering scalable, production-grade infrastructure across AWS services.