Senior Data Engineer (GenAI / AWS)

Match Point Solutions•Los Angeles, CA
•Hybrid

About The Position

MatchPoint Solutions is hiring a Senior Data Engineer focused on generative AI and AWS. This contract role is based in Los Angeles, California, with a hybrid work arrangement. The engineer will design and develop AWS data pipelines and automated document-processing workflows, build retrieval-augmented generation (RAG) capabilities and knowledge bases, and personally build and deploy Claude agents using the Claude Agent SDK and Amazon Bedrock AgentCore Runtime. The role also includes developing CI/CD pipelines and optimizing systems for scalability, reliability, security, and performance.

Requirements

  • 6–10 years of experience.
  • Python and SQL.
  • AWS Step Functions, Lambda, and S3.
  • Amazon Textract and Comprehend.
  • Document AI or OCR.
  • Vector databases and embeddings.
  • Document chunking and indexing.
  • RAG and knowledge-base integration.
  • Amazon Bedrock.
  • Claude Agent SDK; the individual must personally build and deploy Claude agents.
  • AgentCore Runtime.
  • GitHub Actions and CI/CD.
  • AWS IAM and API integrations.

Nice To Haves

  • TypeScript.
  • AWS Glue.
  • OpenSearch, Pinecone, or pgvector.
  • Advanced retrieval and reranking.
  • LangChain or LlamaIndex.
  • Terraform or AWS CDK.

Responsibilities

  • Design and develop data pipelines using AWS Step Functions, Lambda, S3, Textract, and Comprehend.
  • Build automated workflows to extract, transform, and process structured and unstructured data from documents.
  • Implement document chunking, embeddings, vector indexing, and semantic search.
  • Develop and maintain vector databases and knowledge bases for RAG.
  • Integrate knowledge bases with AI agents for contextual information retrieval.
  • Personally build AI agents using the Claude Agent SDK and deploy them on Amazon Bedrock AgentCore Runtime.
  • Develop CI/CD pipelines with GitHub Actions to automate builds, testing, and deployments.
  • Optimize data pipelines for scalability, reliability, security, and performance.
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