via Smartrecruiters
$150K - 220K a year
You would build AWS data pipelines and document-processing workflows, develop AI agents and knowledge bases, and automate testing and deployment.
The role seeks 14+ years of experience plus strong Python and AWS expertise, with hands-on data engineering, document processing, vector search, RAG, and CI/CD experience.
Job Description Senior Data Engineer (GenAI / AWS) Duration: 3+ Months (Extension Possible) Experience: 14+ 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. Additional Information All your information will be kept confidential according to EEO guidelines.
This job posting was last updated on 11/2/2026