AI Engineer

Freelancing Opportunity

AI Engineer – Enterprise Data & Context

We are looking for an AI Engineer with strong Python and Generative AI experience to understand enterprise data from multiple systems, identify its business meaning and relationships, and build a context layer that enables Analytics and AI applications to consume enterprise data accurately.

Key Responsibilities:

• Understand and analyze data from multiple enterprise systems and identify business relationships, definitions, and context.
• Build RAG (Retrieval-Augmented Generation) solutions using enterprise data.
• Develop Agentic AI applications and LLM-powered solutions.
• Work with Generative AI, LLMs, embeddings, vector search, and prompt engineering.
• Develop data and context pipelines using Python and SQL.
• Work with Azure OpenAI and Azure AI Search for AI/GenAI applications.
• Use Microsoft Purview for data cataloging, governance, lineage, and metadata management.
• Work with Azure Data Factory and/or Azure Databricks for data integration and processing.
• Perform basic data analysis and profiling to understand data quality and business meaning.
• Collaborate with data, analytics, and business teams to ensure AI applications use enterprise data correctly and reliably.

Required Skills:

• Strong Python programming.
• Hands-on experience with Generative AI, LLMs, RAG, and Agentic AI.
• Experience with Azure OpenAI and Azure AI Search.
• Strong SQL skills and understanding of enterprise data.
• Knowledge of Microsoft Purview.
• Experience with Azure Data Factory and/or Databricks.
• Understanding of data modeling, metadata, data lineage, and data governance.
• Good understanding of enterprise data and its business context.

Preferred: Experience building production-grade AI/GenAI applications and integrating LLMs with enterprise data platforms.

Pay: ₹30,000.00 - ₹40,000.00 per month

Benefits:

• Flexible schedule

Education:

• Bachelor’s (Required)

Experience:

• Gen AI: 7 years (Required)

Shift availability:

• Overnight Shift (Required)
• Day Shift (Required)

Work Location: Remote