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
Claude Agent SDK
AgentCore Runtime
GitHub Actions CI/CD
AWS IAM and API integrations
Good-to-Have Skills
TypeScript
AWS Glue
OpenSearch, Pinecone, pgvector
LangChain / LlamaIndex
Terraform / AWS CDK
All your information will be kept confidential according to EEO guidelines.