AI Engineer: LLM & RAG Systems (Onsite)

Caterpillar

East Peoria (IL)

Presencial

USD 98.000 - 158.000

Jornada completa

Hace 3 días
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Ventajas ofrecidas por este puesto de trabajo

Medical benefits
Dental benefits
Vision benefits
401(k) plan
HSA
FSAs
Career development

Descripción de la vacante

Caterpillar in East Peoria, IL is seeking an AI Engineer to design, develop, and optimize production-grade AI systems. You will work on Retrieval-Augmented Generation pipelines, multi-agent orchestration, and rigorous testing and observability to deliver reliable, safe AI behaviors in real-world manufacturing software.

You will collaborate with product managers, data scientists, and software engineers to translate business needs into deterministic AI capabilities, keeping pace with rapid AI

Formación

  • Bachelor’s or master’s degree in computer science, data science, artificial intelligence, computational linguistics, mathematics, or a highly technical discipline.
  • 2+ years of dedicated professional experience developing production software integrated with GenAI/LLM pipelines.
  • Proven portfolio with deployed RAG systems or operational AI agents in commercial environments.

Responsabilidades

  • Design advanced prompts and manage prompt architecture.
  • Build AI agents and RAG pipelines with LangChain/LangGraph.
  • Implement automated testing, observability, and CI/CD for AI systems.

Conocimientos

Prompt engineering
Python/TypeScript
LangChain/LangGraph
Vector databases
NLP transformers

Educación

Bachelor’s or Master’s in CS/Data Science/AI/Computational Linguistics

Herramientas

Docker
Kubernetes
Azure AI Search
AWS OpenSearch
LangChain SDK

Descripción del empleo

Caterpillar in East Peoria, IL is seeking an AI Engineer to design, develop, and optimize production-grade AI systems. You will work on Retrieval-Augmented Generation pipelines, multi-agent orchestration, and rigorous testing and observability to deliver reliable, safe AI behaviors in real-world manufacturing software.

You will collaborate with product managers, data scientists, and software engineers to translate business needs into deterministic AI capabilities, keeping pace with rapid AI

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