Artificial Intelligence Engineer

JJA.CO • Los Angeles, CA, US

Hace 1 día

Tipo de contrato

A tiempo completo

Descripción del trabajo

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. You'll 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, US