ZR_3091_JOB

Simple Solutions; Jacksonville (FL); Ibrido; USD 150.000 - 190.000; Tempo pieno

Descrizione del lavoro

Simple Solutions is seeking a Sr. Data Engineer (GenAI & AWS) with strong experience in building scalable data pipelines and AI-enabled workflows.

This role focuses on designing and deploying end-to-end data processing architectures using AWS services such as Step Functions, Lambda, S3, Textract, and Comprehend. You will work on retrieval-augmented generation (RAG) and knowledge-base integration with AI agents.

Competenze

• Proficiency in Python and SQL for data engineering tasks.
• Hands-on experience with AWS data services (Step Functions, Lambda, S3).
• Experience with vector databases, embeddings, and retrieval-augmented generation.
• Ability to design scalable, secure data pipelines.

Mansioni

• Design and develop data pipelines using AWS Step Functions, Lambda, S3, Textract, and Comprehend.
• Build automated document-processing workflows for extracting, transforming, and processing data.
• Implement document chunking, embeddings, vector indexing, and semantic search.
• Develop and maintain vector databases and knowledge bases to support Retrieval-Augmented Generation (RAG).
• Integrate knowledge bases with AI agents for contextual information retrieval.
• Build AI agents using Claude Agent SDK and deploy them on Bedrock AgentCore Runtime.
• Develop CI/CD pipelines using GitHub Actions to automate builds, testing, and deployments.
• Optimize data pipelines for scalability, reliability, security, and performance.

Conoscenze

Python

SQL

RAG

Knowledge retrieval

Strumenti

AWS Step Functions

Lambda

S3

AWS Glue

Textract

Comprehend

Amazon Bedrock

Terraform / AWS CDK

GitHub Actions

Descrizione del lavoro

Sr. Data Engineer (GenAI & AWS) Remote/Hybrid with Travel

Jacksonville, United States

The key is time zone coverage and so we can expand our search across the West Coast - remote/hybrid but necessarily located in the western time zones. You must be comfortable to travel to the client site for workshops/meetings.

Overall experience: 12-20+ years; Cloud Platform: AWS; Primary Language: Python

Key Responsibilities

• Design and develop data pipelines using AWS Step Functions, Lambda, S3, Textract, and Comprehend.
• Build automated document-processing workflows for extracting, transforming, and processing structured and unstructured data.
• Implement document chunking, embeddings, vector indexing, and semantic search.
• Develop and maintain vector databases and knowledge bases to support Retrieval-Augmented Generation (RAG).
• Integrate knowledge bases with AI agents for contextual information retrieval.
• Build AI agents using Claude Agent SDK and deploy them on Amazon Bedrock AgentCore Runtime.
• Develop CI/CD pipelines using GitHub Actions to automate builds, testing, and deployments.
• Optimize data pipelines for scalability, reliability, security, and performance.

Must-have vs. good-to-have skills

• Python, SQL
• TypeScript
• AWS Step Functions, Lambda, S3
• AWS Glue
• 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
• GitHub Actions CI/CD
• Terraform / AWS CDK
• AWS IAM and API integrations
• AgentCore Runtime

Important: If this individual must personally build and deploy the Claude agents, move Claude Agent SDK and AgentCore Runtime into the must-have category.