Freelance Opportunity - AI Agent Developer

About the Role
We are looking for an experienced AI Agent Developer to support the development and enhancement of AI-powered internal applications focused on document intelligence, OCR, data retrieval, RAG, and business process automation.
The role involves working with Python-based applications, Azure services, Databricks, document processing pipelines, and enterprise data sources to build and enhance intelligent solutions for document search, classification, retrieval, and conversational AI.
Location: Remote
Job Type: Part-Time | Freelance
Experience: 4+ Years
Key Responsibilities
Develop and enhance AI-powered applications and AI agents using Python and LLM technologies.
Work on OCR and document intelligence solutions using Tesseract and Azure OCR.
Enhance document-upload and processing pipelines with metadata, document classification, site codes, and business-group assignments.
Develop document-routing and storage workflows using Azure Storage and related Azure services.
Integrate OCR-processed documents with Databricks, SQL Server, and Azure-based repositories.
Support RAG-based document search and conversational AI solutions.
Implement document preprocessing, OCR execution, post-processing, error handling, and duplicate-document identification.
Work with structured and unstructured enterprise data for AI-powered retrieval and analysis.
Develop, review, refactor, test, and maintain Python applications.
Use Git/GitHub for source-code management and collaborate with development and business teams.
Support application deployment and troubleshooting within Azure environments.
Work with enterprise systems and data sources such as SQL Server, CRM, PMDB, and internal repositories.
Required Skills
Strong Python development experience.
Experience with AI Agents / LLM-based applications.
Hands-on experience with RAG and document retrieval.
Experience with OCR technologies, preferably Tesseract and/or Azure OCR.
Strong knowledge of Azure services, particularly Azure Storage.
Experience with Databricks and data processing.
Experience with SQL Server.
Strong understanding of document processing, metadata management, and document classification.
Experience with Git/GitHub and application development workflows.
Knowledge of enterprise AI applications and conversational AI.
Strong debugging, testing, and problem-solving skills.
Preferred
Experience with Azure CLI and Azure Storage Explorer.
Experience integrating structured and unstructured data.
Experience building internal enterprise search applications.
Knowledge of vector databases, embeddings, or advanced RAG architectures.
Experience with AI-agent frameworks and LLM APIs.
Experience with secure Azure application deployment.

Work arrangement
No