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Looking For AI Engineers - Agentic AI / Work From Office

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Onsite

Looking For AI Engineers - Agentic AI / Work From Office

Inlogic Technologies

Looking For AI Engineers - Agentic AI / Work From Office

Skills

SQL QueriesData EngineeringPythonDatabricksData AnalysisMachine LearningAIComplianceAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Chennai, Tamil Nadu, India

Work mode:

Onsite

Published on:

31 August 2026

What they need


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.

Interested candidate can call or whatsapp 8939511848

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