Remote AI/ML Engineer - LLMs, Forecasting, MLOps

Foliox; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health, dental & vision coverage

Unlimited PTO

Conference & learning budget

Equity offered

Job summary

Foliox is seeking an AI Engineer to develop and deploy AI systems that automate dispatch operations in a remote-first US role. You will work on language-model agents for order intake and triage, document processing, demand forecasting, and pricing intelligence.

Responsibilities include building LLM agents, document extraction for reconciliation, forecasting models, and designing evaluation methods. You will deploy and monitor models in production with feedback loops.

Qualifications

• Three+ years of applied AI or ML in production systems.
• Experience with Python and ML frameworks (PyTorch or TensorFlow).
• Experience with LLMs, RAG pipelines, or agent frameworks.

Responsibilities

• Build and fine-tune LLM-based agents for order intake and dispatch triage.
• Develop document extraction models for bill of lading reconciliation.
• Create demand forecasting models for inventory management.
• Design evaluation methods to measure agent accuracy and reliability.
• Deploy models with production monitoring and feedback loops.

Skills

Python

PyTorch or TensorFlow

LLMs / retrieval-augmented generation

MLOps practices

Model monitoring

Education

Bachelor's or Master's in CS/ML

Tools

PyTorch

TensorFlow

OCR tools

Job description

Foliox is seeking an AI Engineer to develop and deploy AI systems that automate dispatch operations in a remote-first US role. You will work on language-model agents for order intake and triage, document processing, demand forecasting, and pricing intelligence.

Responsibilities include building LLM agents, document extraction for reconciliation, forecasting models, and designing evaluation methods. You will deploy and monitor models in production with feedback loops.