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Artificial Intelligence Engineer

Artificial Intelligence Engineer

JJA, Inc.Los Angeles, CA, United States
14 hours ago
Job type
  • Full-time
Job description

Senior AI Engineer Document / Invoice Processing with ERP Integration

Los Angeles | San Francisco

Building the reserve layer of machine finance. We unlock trapped working capital for small and mid?sized businesses by transforming invoices into programmable, tradeable financial assets. We bypass legacy bottlenecks in banking and ERP systems, providing institutional investors with direct access to short?term receivables as a new source of yield. Our infrastructure is live, processing real corporate invoices today, and designed to scale into a global liquidity rail connecting enterprises, AI agents, and capital markets.

The Role

Build production AI agents that extract structured financial data from enterprise systems at scale. Youll integrate with SAP, Oracle, and NetSuite; process 10K+ invoices monthly with 95%+ accuracy; and orchestrate multi?agent workflows that convert unstructured documents into blockchain?ready assets.

Must Haves

  • LLM Development
  • Document or Invoice Parsing / Processing or Data Extraction from Documents
  • ERP Integration

Technical Requirements

  • Production Multi?Agent Systems
  • Built systems processing 1M+ monthly requests using LangChain or LangGraph

  • Achieved 50%+ cost reduction through token optimization, caching, or multi?model routing
  • Implemented parallel agent execution with state persistence and error recovery
  • 95%+ field extraction accuracy on PDF invoices, scanned documents, and complex layouts
  • Production experience handling OCR artifacts, malformed documents, and multi?format parsing
  • Real?time validation pipelines with GST / VAT checks and automated reconciliation
  • ERP Integration Experience
  • Native connectors for SAP (S / 4HANA, ECC), Oracle (NetSuite, ERP Cloud), or Microsoft Dynamics

  • Real?time data sync between LLM systems and business systems (sub?second latency)
  • Complex data transformation between unstructured documents and ERP schemas
  • Agent Runtime Infrastructure
  • E2B or Daytona implementation for secure agent code execution

  • Container orchestration achieving 20x+ throughput improvements
  • SOC2 / GDPR compliance in financial data processing systems
  • Must?Have Experience
  • Accuracy proof : 95%+ extraction rates on production financial documents

  • Integration proof : 5+ external APIs with authentication, webhooks, and rate limiting
  • Compliance proof : Experience with SOX, audit trails, or other financial regulatory frameworks
  • Technical Stack

    Processing : Pydantic, structured outputs, function calling, semantic parsing

    Ideal Background

  • 3+ years building production LLM applications with measurable performance metrics
  • Open?source contributions to LangChain or Composio (1000+ commits preferred)
  • Enterprise software integration at fintech or AI infrastructure companies
  • Seniority Level

    Mid?Senior level

    Employment Type

    Full?time

    Industries

    Software Development

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    Artificial Intelligence Engineer • Los Angeles, CA, United States

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