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Metaprise.Ai7mo ago

AI Engineer

Shenzhen · ShenzhenFull-timemid
Data ScienceAI EngineerData & AI
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Quick Summary

Overview

About Us At Metaprise, we’re building the world’s first Financial Operating System — an AI Agent–powered platform that unifies Accounts Receivable, Accounts Payable, Contract Management,

Technical Tools
Data ScienceAI EngineerData & AI
About Us
At Metaprise, we’re building the world’s first Financial Operating System — an AI Agent–powered platform that unifies Accounts Receivable, Accounts Payable, Contract Management, SmartFlow Automation, and Cash Management into a single intelligent hub. We help enterprises eliminate operational gaps between financial tools, giving them total control over data flow and cash flow. Backed by real customers in the US and global expansion momentum, we’re scaling fast and looking for builders who thrive in high-growth, high-impact environments.
  • Bachelor's degree or above in Computer Science, AI, or related fields
  • 2-3 years of Python development experience with solid machine learning foundation
  • Deep understanding of vector retrieval and embedding model technologies
  • Proficient in vector databases (Pinecone, Chroma, Weaviate) and retrieval optimization tools
  • Familiar with OCR technology, experienced in multimodal model processing for documents, images, data preprocessing and feature extraction
  • Experience in designing RAG (Retrieval-Augmented Generation) solutions
  • Proficient in PyTorch/TensorFlow frameworks with hands-on experience in Hugging Face, LangChain/LangGraph tools
  • Strong English reading and writing skills, excellent learning ability
  • Good communication and collaboration skills
  • AI Agent Development & Integration:
  • Develop intelligent financial agents using LangChain, LangGraph and related frameworks
  • Design and implement multi-agent collaborative systems for complex financial workflows
  • Build intelligent AR/AP automation agents for accounts receivable/payable processing
  • Develop smart report generation agents for automated financial analysis and data visualization
  • RAG System Design & Vector Retrieval:
  • Design and implement RAG (Retrieval-Augmented Generation) systems for financial knowledge bases
  • Build vector databases for efficient document retrieval and semantic search
  • Develop embedding model optimization solutions to improve retrieval accuracy and response speed
  • Integrate multimodal data processing to support various formats including financial documents, invoices, and reports
  • Document Processing & Multimodal AI:
  • Integrate OCR technology for intelligent recognition of financial receipts and documents
  • Develop multimodal model processing solutions for documents, images, tables and mixed data types
  • Establish document preprocessing and feature extraction pipelines to improve data quality
  • Integrate with mainstream ERP systems through APIs for real-time data synchronization
  • AI Model Optimization & Training:
  • Conduct model fine-tuning and training using PyTorch/TensorFlow frameworks
  • Utilize Hugging Face ecosystem for model selection and optimization
  • Optimize agent response quality through Prompt Engineering techniques
  • Establish model performance evaluation systems for continuous AI system improvement
  • Ensure all AI systems comply with US financial regulations (SOX, GAAP, etc.)
  • Fintech industry experience
  • Cloud platform deployment experience (AWS/GCP/Azure)
  • Large-scale vector retrieval system optimization experience

    • Listing Details

    Posted
    September 15, 2025
    First seen
    March 26, 2026
    Last seen
    April 22, 2026

    Posting Health

    Days active
    27
    Repost count
    0
    Trust Level
    23%
    Scored at
    April 22, 2026

    Signal breakdown

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