About The Position
We are seeking a highly experienced Senior Data Engineer with expertise in AWS, Python, Generative AI, and Retrieval-Augmented Generation (RAG). The role focuses on designing and building scalable AI-powered document-processing solutions, vector-search pipelines, and intelligent AI agents on AWS. The position is listed as a 3+ month C2C engagement with a possible extension and is described as remote/hybrid in Los Angeles, California. AWS certification is required.
Requirements
- 14+ years of Data Engineering experience.
- Python and SQL.
- AWS Step Functions, Lambda, and 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.
- AWS certification is required.
Nice To Haves
- TypeScript.
- AWS Glue.
- OpenSearch, Pinecone, or pgvector.
- LangChain or LlamaIndex.
- Terraform or AWS CDK.
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.
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What This Job Offers
Career Level
Senior
Education Level
No Education Listed
