AI Engineer – LLM & RAG Systems
Company: Monarch Digital Assets - Email your resume to [email protected]
Experience: 0–2 Years
Location: New Delhi
Employment: Full time

Role
Monarch Digital Assets is building an LLM-based system for long-form digital publishing. The platform ingests multiple books on a subject, extracts and structures their information, identifies relationships across sources, and uses that knowledge to generate new chapter-based manuscripts with source traceability and measurable information coverage.
We are looking for a AI Engineer to work directly on this pipeline. This is a hands-on engineering role covering document processing, RAG, knowledge graphs, LLM orchestration and evaluation. You will work closely with the project lead initially and progressively take ownership of core components of the system.

What You Will Build
Build ingestion pipelines for PDF, EPUB and DOCX documents, including parsing, chunking, metadata extraction and document hierarchy preservation.
Develop RAG pipelines covering embeddings, indexing, semantic/hybrid retrieval,



reranking and context construction.
Extract structured facts, concepts, arguments, examples, entities and relationships from long-form documents using LLMs and schema-based outputs.
Work with vector databases and graph databases to support cross-document retrieval and GraphRAG-style knowledge synthesis.
Build multi-stage LLM workflows for extraction → planning → retrieval → generation → verification → revision.
Develop methods to track source provenance and measure whether generated chapters have omitted, duplicated or distorted source information.
Implement LLM evaluation pipelines for retrieval quality, factual grounding, information coverage and hallucination detection.
Build backend services and APIs for model execution, document processing and asynchronous generation workflows.
Benchmark alternative models, retrieval strategies, chunking methods and prompts using measurable evaluation

📌 AI Engineer (India)
🏢 Monarch Digital Assets
📍 India