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# Remote Role: Senior Data Engineer (GenAI / AWS) | Amazon Bedrock | Claude Agent SDK | Python | 14+ y

- **Company:** TMS LLC
- **Location:** Myrtle Point, OR, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Amazon S3, Information Engineering, Github, Identity and Access Management, Information Retrieval, Python (Programming Language), Search Technologies, SQL Databases, TypeScript, Unstructured Data, AWS Cdk, Pinecone, Retrieval-Augmented Generation, Llamaindex, AgentCore, Generative AI, Indexer, Agentic-AI, Build Management, Pgvector, Amazon Bedrock, AWS Glue, Claude, Terraform, Agent SDK, Intelligent Document Processing, Data Pipelines, Api Management, OpenSearch
- **Published:** October 28, 2026
- **Apply:** https://www.thejobnetwork.com/job/50007a3d-6e45-4158-8851-ec0319fd21fb/remote-role-senior-data-engineer-genai-aws-amazon-bedrock-claude-agent-sdk-python-y

## About the Role

14+ 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

## Description

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., 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.