Role: Senior Data Engineer (GenAI / AWS)

Duration: 3+ Months (Extension Possible)

Location: Los Angeles, CA (Remote/Hybrid) Employment Type: C2C Experience: 14+ 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

14+ 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.

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