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TMS LLC

Remote Role: Senior Data Engineer (GenAI / AWS) | Amazon Bedrock | Claude Agent SDK | Python | 12+ years of experience | Local to CA only

TMS LLC Los Angeles, California, United States

IT Services and IT Consulting · 51-200 employees

7 h ago
python Principal (10+ yrs) Contractor United States
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About the role

Design and build scalable AWS data pipelines and automated document-processing workflows, including document chunking, embeddings, vector indexing, semantic search, and RAG solutions. Develop AI agents using the Claude Agent SDK on Amazon Bedrock AgentCore Runtime, integrate knowledge bases, and maintain CI/CD pipelines while optimizing for security, reliability, scalability, and performance.

What they look for

Python SQL AWS AWS Step Functions AWS Lambda Amazon S3 Amazon Textract Amazon Comprehend Document AI Optical Character Recognition Vector Databases Embeddings Retrieval-Augmented Generation Amazon Bedrock Claude Agent SDK GitHub Actions

Requirements

Requires 12 or more years of data engineering experience, strong Python and SQL skills, and expertise in AWS services, document AI, vector search, RAG, Amazon Bedrock, and the Claude Agent SDK. An AWS certification is required; experience with TypeScript, AWS Glue, OpenSearch, Pinecone, pgvector, LangChain, LlamaIndex, Terraform, or AWS CDK is beneficial.

Full description

Job Description

Role: Senior Data Engineer (GenAI / AWS)

Duration: 3+ Months (Extension Possible)

Location: Los Angeles, CA (Remote/Hybrid) - Local to CA Only

Employment Type: C2C

Experience: 12+ Years

Note: AWS certification is required.

We are looking for a highly experienced Senior Data Engineer with strong expertise in AWS, Python, Generative AI, and Retrieval-Augmented Generation (RAG). The ideal candidate will design and build scalable AI-powered document processing solutions, vector search pipelines, and intelligent AI agents on AWS.

 

Key Responsibilities

Design and develop scalable data pipelines using AWS Step Functions, Lambda, S3, Textract, and Comprehend.

Build automated document-processing workflows for structured and unstructured data.

Implement document chunking, embeddings, vector indexing, semantic search, and RAG solutions.

Develop and maintain vector databases and knowledge bases.

Integrate knowledge bases with AI agents for contextual information retrieval.

Build and deploy AI agents using Claude Agent SDK on Amazon Bedrock AgentCore Runtime.

Develop and maintain CI/CD pipelines using GitHub Actions.

Optimize data pipelines for scalability, security, reliability, and performance.

 

Must-Have Skills

12+ years of Data Engineering experience.

Python, SQL

AWS Step Functions, Lambda, S3

Amazon Textract and Comprehend

Document AI / OCR

Vector databases and embeddings

Document chunking and indexing

Advanced retrieval and reranking

RAG and knowledge-base integration

Amazon Bedrock

Claude Agent SDK

AgentCore Runtime

GitHub Actions CI/CD

AWS IAM and API integrations

 

Good-to-Have Skills

TypeScript

AWS Glue

OpenSearch, Pinecone, pgvector

LangChain / LlamaIndex

Terraform / AWS CDK

Additional Information

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

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