Inlogic Technologies
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Chennai · Hybrid · 1-3 Yrs · Aug 17
Information Technology Support Services · 201 to 500 Employees · Auckland, New Zealand
Hiring: Engineering
What employees say
+ Friendly workplace, learning technology & recognization
− Nothing much to say about cons
More reviews on the company profile.
Interview experience · .NET Developer
Though I'm from java background without any knowledge in HTML, CSS and C# they considered me till 3rd round because of my confidence and fluency. It was a walkin. Waiting for my 3rd round results(on hold). All the three
Easy difficulty · Chennai · 12 reports
More interview insightsJob description
Overview
Key Responsibilities
Responsibilities
- 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.
- 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.
- 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.
- Governance
- Implement RBAC, Row-Level Security, and data governance controls.
- Ensure compliance with enterprise security and privacy requirements.
- Operations
- Monitor data pipelines and AI services using Azure Monitor and Log Analytics.
- Support troubleshooting, performance tuning, and platform reliability.
Qualifications
- Strong Python and SQL programming skills.
- Hands-on experience with Azure AI Search or similar search platforms.
- Understanding of RAG, embeddings, and vector search concepts.
- Knowledge of security and governance best practices.
Nice to have
- 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.
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