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Metaprise provides an Agent Operating System for enterprises
The Role
The AI Engineer will develop and integrate AI agents for financial automation, working on document processing, retrieval-augmented generation systems, and model optimization using frameworks like PyTorch and TensorFlow.
Summary Generated by Built In
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.
Requirements
- 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
Responsibilities
- 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.)
Nice to Have
- Fintech industry experience
- Cloud platform deployment experience (AWS/GCP/Azure)
- Large-scale vector retrieval system optimization experience
We understand that in reality, exceptional individuals may not always perfectly match every requirement. This is why we value potential as much as experience in our hiring process. Even if you don't check every box in the job description, if you believe this role and our company align well with you, we encourage you to apply. Join a team dedicated to safeguarding, healing, and nurturing a cleaner and healthier world.
At Metaprise, all qualified applicants will be considered for employment without regard to age, disability, or medical condition; ethnicity, race, citizenship, and national origin; religion or faith; family status, pregnancy, and caring responsibilities; sexual orientation; gender identity, gender expression, and transgender identity; protected veteran status; size or any other protected basis under appropriate law.
Skills Required
- 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
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The Company
What We Do
Metaprise is the control center for your entire AI workforce. Every engine, every agent, every policy — managed from one unified Dashboard. You define the rules. The Dashboard translates them into execution constraints that apply to all agents, in real time, without code changes. Set and enforce policies across all six engines from a single interface — no engineering work required Monitor agent activity, execution status, and compliance state in real time with full audit trail access Manage role-based access control, agent permissions, and approval workflows for every business process Configure alert thresholds, escalation paths, and human-in-the-loop checkpoints without code Available as a full web UI, API-driven headless mode, or embedded in your existing enterprise portal
Why Work With Us
We believe that creating an inviting and motivating work environment is the key to success. That’s why our main headquarters in New York City are designed with open and collaborative spaces that help bring out the best in our staff.
