Key Responsibilities

Data Engineering & Integration

- Design and develop scalable data ingestion pipelines using Azure services.
- Integrate enterprise data sources such as SharePoint, Azure DevOps, databases, and document repositories.
- Build document processing and data transformation workflows for AI applications.
- Ensure data quality, scalability, and reliability across platforms.

RAG & Search Solutions

- Build and maintain Retrieval Augmented Generation (RAG) solutions.
- Manage vector databases and Azure AI Search indexes.
- Optimize document chunking, embeddings, and search relevance.
- Implement hybrid search and semantic search capabilities.

AI & Automation

- Support AI-powered applications using Azure OpenAI and related services.
- Collaborate with AI teams to enable knowledge retrieval and intelligent automation.
- Contribute to Agentic AI and workflow orchestration initiatives using tools such as LangGraph or LangFlow.

Security & Governance

- Implement RBAC, Row-Level Security, and data governance controls.




- Ensure compliance with enterprise security and privacy requirements.

Monitoring & Operations

- Monitor data pipelines and AI services using Azure Monitor and Log Analytics.
- Support troubleshooting, performance tuning, and platform reliability.

Required Skills

Must Have

- Solid Python and SQL programming skills.
- Experience with Azure Data Services (Databricks, Synapse, Data Factory, Functions).
- Experience building data pipelines and ETL/ELT solutions.
- Hands-on experience with Azure AI Search or similar search platforms.
- Understanding of RAG, embeddings, and vector search concepts.
- Experience with REST APIs and data integration.
- Knowledge of security and governance best practices.

Preferred Qualifications

- Bachelor's or Master's degree in Computer Science, Data Engineering, IT, or related field.
- Azure Data Engineer (DP-203) or Azure AI Engineer (AI-102) certification preferred.

Interested candidate can call or whatsapp your cv to (phone hidden)

📌 Hiring For Data Engineer - AI @ Chennai Tharamani Location- WFO
🏢 Inlogic Technologies
📍 Chennai