About the Company

We are a technology-driven organization focused on building advanced AI-powered systems that enable intelligent automation and decision-making. Our work revolves around developing scalable and reliable data and knowledge infrastructures that support next-generation Agentic AI solutions. We foster a culture of innovation, collaboration, and continuous learning to solve complex enterprise challenges.

Introduction

We are looking for a Data & Knowledge Engineer to own and manage the knowledge layer powering Agentic AI systems. In this role, you will ensure that AI agents receive high-quality, relevant, and well-structured context for optimal performance.

You will work on designing retrieval systems, building knowledge pipelines, and collaborating with subject matter experts to encode business knowledge. This role is ideal for professionals passionate about data engineering, AI systems, and building scalable knowledge infrastructures.

Key Responsibilities

Technical Development

Build and maintain knowledge vaults for AI agent consumption.
Design and implement RAG (Retrieval-Augmented Generation) pipelines and retrieval strategies.
Develop systems for document ingestion, parsing, and processing across formats such as PDFs and OCR data.
Optimize chunking strategies, embeddings, and retrieval accuracy.

Execution & Problem Solving

Clean, structure, and tag enterprise data for efficient retrieval.
Maintain metadata, freshness policies, and data quality standards.
Evaluate and improve retrieval performance using analytical techniques.
Troubleshoot issues related to data pipelines and knowledge systems.

Growth & Collaboration

Collaborate with subject matter experts to encode domain-specific knowledge.
Work closely with engineering and AI teams to enhance system capabilities.
Stay updated with advancements in AI, semantic search, and knowledge systems.
Contribute to improving internal standards and best practices for knowledge engineering.

Required Qualifications

4 to 7 years of experience in data engineering or backend engineering.
Strong proficiency in Python and SQL.
Experience working with vector databases and retrieval systems.
Hands-on experience with document ingestion and parsing (PDF, OCR, semi-structured data).
Strong understanding of chunking strategies, metadata tagging, and retrieval evaluation.
Ability to design scalable and efficient data pipelines.

Preferred Qualifications

Familiarity with Knowledge Graphs using tools such as Neo4j or NetworkX.
Experience with platforms like SharePoint, Confluence, or Notion.
Understanding of semantic search tuning and optimization techniques.
Exposure to enterprise data governance practices.

Why Join Us / Benefits

Join a forward-thinking team working on cutting-edge AI and knowledge systems. This role offers an opportunity to work on impactful technologies, collaborate with experts, and contribute to building intelligent systems at scale.

Competitive salary ranging from ₹30,00,000 to ₹40,00,000 per year.
Opportunity to work on advanced AI and Agentic systems.
Collaborative and innovation-driven work environment.
Exposure to modern data engineering and AI technologies.
Career growth and continuous learning opportunities.