CHENNAI · FULLTIME
AI Data Engineer
inlogic Technologies
Chennai · onsite · Posted 28d ago
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Undisclosed4–8 yrsfulltimeChennai
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Section · 01
About this role
Job Title: AI Data Engineer
Experience: 4 - 8 Years
Location: Tharamani, Chennai
Employment Type: Full Time
Job Summary:
- 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
-> Bachelors or Masters 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.
- Collaborative, innovative-driven work environment.
Disclaimer: This job posting and location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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Section · 02
Skills
AutomationAzure DevopsData EngineerAzure Data ServicesAzure Aiapisai servicesAzure Servicesai automationAzure OpenAICompensation And BenefitsAnalyticsData Engineeringazure data engineerMicrosoft AzureArtificial IntelligenceAutomation Solutions
Section · Company
About Inlogic Technologies

inlogic Technologies
IT Services & Consulting
175
employees
2000
26 years old
Chennai, Tamil Nadu
India
₹6.5L PA avg
Avg at Inlogic Technologies
About
inlogic Technologies specializes in IT solutions, focusing on healthcare and content management to enhance business operations globally.
Industries
IT Services & Consulting
Employee ratings
10 reviews
3.3/ 5
Culture
3.4
Career growth
3.3
Work-life
3.2
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