Software Engineer - AI Research

About this role

kAIgentic is building the intelligence layer for the world's most ambitious enterprises. Headquartered in Singapore with teams in India and Japan, our software platform helps large organizations evolve as fast as technology itself by turning the tacit know-how locked inside their people into safe, governed, AI-powered operations.

The hardest part of enterprise transformation is not strategy. It is execution. Institutional knowledge lives in people's heads, systems are fragmented, and risk tolerance is low. kAIgentic captures how work actually happens, designs better workflows, and runs them inside an intelligence layer that is observable, auditable, and engineered for the most regulated environments on earth. The outcome is an enterprise that continuously improves.

We are backed by SMBC Group as our founding partner and customer zero, and our platform is already being proven inside one of the most complex, regulated operating environments in the world. That means real problems, real data, and real production impact from Day 1.

## The Role

Design and deliver the intelligence layer that turns enterprise process knowledge, documents, interviews, system logs, into a governed, provenance-carrying process ontology, and the AI systems that extract, consolidate, ground, and continuously learn from it. Ensure every output is evidence-backed; hallucination is a product failure, not a metric.

## What You’ll Do

• Build end-to-end pipelines for ingesting complex documents, handling layouts, tables, and scanned diagrams, and generate robust embeddings for long-form content
• Design schema-constrained LLM extraction frameworks using typed schemas, validation loops, and automated repair/re-prompt cycles
• Own retrieval engineering solutions, integrating hybrid search, reranking, and query expansion to surface relevant context efficiently
• Deliver knowledge-graph construction and entity resolution pipelines, modeling property-graphs in Neo4j or equivalent stores a...