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

Market insights

Stack

Free. Sign in with email.

Apply

Upload your CV — we will connect you with the employer directly through our pool.

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 C

Full description, company and the link to apply — after you sign in. Sign in

Employer contacts (email/phone/telegram) are hidden from the public preview — send your CV, and we will connect you directly.