Full-Stack AI Engineer: Document Intelligence & CV

D2 Intelligence HK Limited; Hong Kong Island; On-site; HKD 550,000 - 1,000,000; Full time

Job summary

D2 Intelligence HK Limited is seeking a versatile Full-Stack Algorithm Engineer to drive end-to-end R&D, optimization, and production delivery for document intelligence, CV, and AI tamper detection across our global products Documind and Checkie.

The role merges algorithm research with full-stack development and direct client engagement, requiring collaboration with international teams and rapid prototyping of AI Agent workflows for production-grade deployment.

Qualifications

• OCR and document information extraction experience.
• AI fake and tamper detection experience.
• Proficiency in PyTorch and TensorFlow.

Responsibilities

• Lead end-to-end R&D, optimization, and production delivery of document intelligence, CV, and AI tamper detection.
• Collaborate with client teams to translate business demands into AI Agent workflows and rapid prototypes.
• Perform on-site system docking, API integration, RAG knowledge base construction, and knowledge graph engineering.
• Abstract reusable modules to upgrade the global product lines.

Skills

OCR recognition

Document information extraction

Image classification

Target detection

AI tamper detection

Seal detection

Signature detection

Font recognition

AI Agent workflows

Python

Java

FastAPI

Flask

SpringBoot

SpringCloud

Docker

Gradio

Streamlit

React

Vue

Cursor

Claude Code

English

Cantonese

Education

Bachelor's degree in Computer Science / AI / Software Engineering

Tools

PyTorch

TensorFlow

TensorRT

ONNX

Knowledge graph

Job description

D2 Intelligence HK Limited is seeking a versatile Full-Stack Algorithm Engineer to drive end-to-end R&D, optimization, and production delivery for document intelligence, CV, and AI tamper detection across our global products Documind and Checkie.

The role merges algorithm research with full-stack development and direct client engagement, requiring collaboration with international teams and rapid prototyping of AI Agent workflows for production-grade deployment.