AI Data & Knowledge Engineer , Officer

Overview

AI Data & Knowledge Engineer responsible for building and maintaining backend data pipelines and knowledge assets that support enterprise AI applications.

What you'll do

• Build and maintain data pipelines to ingest, transform, and serve structured and unstructured data for AI applications.
• Support ETL/ELT workflows across enterprise source systems, data platforms, and downstream AI services.
• Develop RAG pipelines, vector indexing workflows, and knowledge graph assets under senior engineering guidance.
• Contribute to data modeling, ontology creation, metadata tagging, and semantic enrichment.
• Perform data quality checks, validation, reconciliation, and documentation for pipelines and data contracts.
• Optimize pipeline performance, reliability, and scalability across batch and near-real-time workloads.
• Participate in code reviews and engineering discussions.

What you'll need

• 5–12 years of experience in data engineering, software engineering, or a related technical role.
• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
• Working knowledge of Python and SQL and/or Java.
• Basic understanding of ETL/ELT pipelines, data transformation, and data integration concepts.
• Understanding of data quality, metadata, and governance concepts.
• Preferred exposure to big data/distributed processing tools such as Spark or Databricks (or similar).
• Familiarity with data lakes, warehouses, or lakehouse architectures.

Nice to have

• Exposure to RAG, vector databases, semantic search, or knowledge graph concepts.
• Familiarity with orchestration tools such as Airflow (or similar).

Details

• Location: Bangalore, India.