Looking For AI Engineers - Agentic AI / Work From Office

Inlogic Technologies; Chennai District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Inlogic Technologies in Chennai is seeking a data engineer to design scalable data ingestion pipelines on Azure, integrate SharePoint and databases, and build AI-ready document processing workflows.

You will work on RAG, vector search, and security governance, collaborating with AI teams to enable knowledge retrieval and automated AI workflows. Familiarity with Python, SQL, and Azure Data Services is essential.

Qualifications

• 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 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.

Responsibilities

• 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.
• Build and maintain Retrieval Augmented Generation (RAG) solutions and vector search indexes.
• Implement RBAC, data governance, and security controls.

Skills

Langchain

RAG

Vector databases

MultiAgentic System

Machine Learning

GraphRAG LLM Finetuning

HybridRAG

AzureOpenAI

Python

SQL

Databricks

Azure Synapse

Azure Data Factory

Azure Functions

Azure AI Search

LangGraph

LangFlow

REST APIs

Education

Bachelor's or Master's in Computer Science, IT, or related field

Tools

Databricks

Azure Synapse

Azure Data Factory

Azure Functions

Azure AI Search

LangGraph

LangFlow

REST APIs

Job description

Mandatory Skills:

Langchain, RAG, Vector Database, MultiAgentic System, Machine Learning, GraphRAG LLM Finetuning, HybridRAG, AzureOpenAI

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:

• 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 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.