Demo

Sr Search and AI Engineer

Apolis
Washington, DC Full Time
POSTED ON 3/3/2025
AVAILABLE BEFORE 6/2/2025

Job Description

Job Description

Title : Sr Search and AI Engineer

Location : Charlotte, NC (Onsite)

Duration : - 5 Months

Pay range : $75-114 / Hour on W2

Job Summary

We are seeking a Senior AI Engineer to design, implement, and support AI-driven document processing, retrieval, and search solutions using Azure AI Search, Retrieval-Augmented Generation (RAG), Query Orchestration, and Kubernetes-based container deployments. The ideal candidate will have expertise in RAG-based architectures, Azure AI services, and on-premise open source alternatives.

Key Responsibilities

  • Architect and deploy AI-driven search and document intelligence solutions using Azure AI Search, Azure Document Intelligence, and RAG techniques.
  • Develop and optimize Query Orchestration strategies to route and structure user queries efficiently across multiple search and retrieval systems.
  • Implement and fine-tune RAG-based AI applications for intelligent knowledge retrieval from structured and unstructured documents.
  • Deploy and manage containerized AI applications using Azure Kubernetes Service (AKS) for scalable processing.
  • Optimize vector search and embeddings pipelines to enhance AI-driven document retrieval.
  • Implement on-premise alternatives to Azure Document Intelligence, leveraging open-source solutions (e.g., Tesseract OCR, PyMuPDF, pillow).
  • Integrate with APIs (e.g., Profile APIs, Product Metadata APIs, Download APIs) to enrich search capabilities and indexing processes.
  • Ensure compliance with export control restrictions and secure document handling best practices.
  • Monitor, troubleshoot, and optimize AI-based search, retrieval, and document processing workflows.
  • Collaborate with stakeholders to define, implement, and refine AI-powered document solutions.

Required Skills & Experience

  • 5 years of experience in AI / ML, cloud-based search, and document processing.
  • Expertise in Query Orchestration for handling complex AI search and retrieval pipelines.
  • Strong knowledge of RAG (Retrieval-Augmented Generation) architectures for AI-powered search.
  • Experience with Azure AI Search, Document Intelligence, and Cognitive Services.
  • Hands-on experience with vector search, embeddings, and hybrid search techniques.
  • Strong experience with Kubernetes (AKS) and containerized AI deployments.
  • Experience with on-premise document processing alternatives such as Tesseract OCR, PyMuPDF, pillow.
  • Proficiency in Python for AI pipeline and search system development.
  • Experience with Azure OpenAI, LangChain, or AI Foundry is a plus.
  • Preferred Qualifications

  • Experience in hybrid cloud AI solutions (on-prem cloud).
  • Deep knowledge of Query Orchestration techniques for multi-index search optimization.
  • Expertise in vector databases and hybrid search architectures (e.g., FAISS, Weaviate, Pinecone).
  • Background in document classification, NLP, and entity extraction.
  • Familiarity with export control restrictions and secure document handling best practices.
  • Bhavesh Singh Chauhan

    Client Recruiting Manager(CRM)

    Ap o lis

    Cell ( 424-423-0848)

    Email : Bhavesh.chauhan@apolisrises.com

    www.apolisrises.com

    703 Campus Square West, El Segundo, CA 90245

    Salary : $75 - $114

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