Senior Data Engineer (GenAI / AWS)

Varite Inc
Santa Monica, CA, United States
7 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Compensation
$166,400 - $208,000
Working hours
Regular working hours

Tech stack

Amazon Web Services Amazon S3 Continuous Integration Github Information Retrieval Python (Programming Language) Search Technologies SQL Databases TypeScript Unstructured Data AWS Cdk Pinecone
+15 more
Retrieval-Augmented Generation Llamaindex AgentCore Generative AI Indexer Agentic-AI Pgvector Amazon Bedrock AWS Glue Claude Terraform Agent SDK Intelligent Document Processing Data Pipelines OpenSearch

Job description

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

Must-have: β€œ Python, SQL β€œ AWS Step Functions, Lambda, S3 β€œ Amazon Textract and Comprehend β€œ Vector databases and embeddings β€œ Document chunking and indexing β€œ RAG and knowledge-base integration β€œ Amazon Bedrock β€œ GitHub Actions CI/CD

Good-to-have: β€œ TypeScript β€œ AWS Glue β€œ Document AI / OCR β€œ OpenSearch, Pinecone, pgvector β€œ Advanced retrieval and reranking β€œ LangChain / LlamaIndex β€œ Claude Agent SDK β€œ Terraform / AWS CDK β€œ AgentCore Runtime

Requirements

Experience: 6 10 years Cloud Platform: AWS Primary Language: Python

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