AI Engineer
- India
نُشرت أمس
عن الوظيفة
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