AI Data Engineer

inlogic Technologies Pvt. Ltd.; Chennai District; On-site; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Competitive compensation

Flexible work arrangements

Professional development opportunities

Job summary

inlogic Technologies Pvt. Ltd. is seeking an AI Data Engineer to build and manage data platforms powering Generative AI, RAG, and intelligent automation solutions.

The candidate will design scalable ingestion pipelines on Azure, integrate SharePoint and databases, and develop document processing workflows for AI applications. The role requires strong Python/SQL, experience with Azure data services, ETL/ELT, and hands-on Azure AI Search, with a focus on security, governance, and reliable data

Qualifications

• > Must have strong 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 with Azure AI Search or similar search platforms.
• > Understanding of RAG, embeddings, and vector search concepts.
• > REST APIs and data integration.
• > Knowledge of security and governance best practices.

Responsibilities

• > Design and develop scalable data ingestion pipelines using Azure services.
• -> Integrate enterprise data sources (SharePoint, Azure DevOps, databases, document repositories).
• -> Build document processing and data transformation workflows for AI apps.
• -> Ensure data quality, scalability, and reliability across platforms.
• -> Build and maintain Retrieval Augmented Generation (RAG) solutions.
• -> Manage vector databases and Azure AI Search indexes.
• -> Optimize chunking, embeddings, and search relevance.
• -> Implement hybrid/semantic search capabilities.
• -> Support AI-powered applications using Azure OpenAI and related services.
• -> Collaborate with AI teams for knowledge retrieval and automation.
• -> Contribute to Agentic AI and workflow orchestration with LangGraph or LangFlow.
• -> Implement RBAC, Row-Level Security, and governance controls.
• -> Monitor pipelines with Azure Monitor and Log Analytics.
• -> Troubleshoot performance and reliability.

Skills

Python

SQL

Azure Data Services

Data Pipelines

ETL/ELT

REST APIs

Security & Governance

RBAC

Education

Bachelor's or Master's in CS/IT/Data Eng

Azure DP-203 / AI-102 certification

Tools

Databricks

Azure Synapse

Azure Data Factory

Azure Functions

Azure AI Search

LangChain

LangFlow

Dagster

Job description

• We are looking for an AI Data Engineer to build and manage data platforms that power Generative AI, RAG, and intelligent automation solutions. The ideal candidate should have strong experience in Azure data services, Python, data pipelines, and search technologies, with exposure to AI-driven applications.

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.
  -> Support troubleshooting, performance tuning, and platform reliability.
• 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
  -> Strong Python and SQL programming skills.
  -> Experience with Azure Data Services (Databricks, Synapse, Data Factory, Functions).
  -> Experience building data pipelines and ETL/ELT solutions
  -&gt 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.
• Good to Have
  -> Azure OpenAI Service.
  -> LangChain.
  -> LangFlow
  -&gt Agentic AI or Multi-Agent Systems.
  -> Dagster or workflow orchestration frameworks.
• Education
  -> 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
• Success Measures
  -> Reliable and scalable AI-ready data platform.
  -> High-quality search and retrieval performance.
  -> Secure and compliant data environment.
  -> Successful delivery of RAG and AI automation solutions. .
  -> Reduced operational effort through automation.

What We Offer:

• Opportunity to work on cutting-edge initiatives with industry-leading teams.
• Competitive compensation and benefits package.
• Flexible work arrangements and professional development opportunities.