Hybrid AI Engineer: GenAI, LLMs & Intelligent Automation

CURE Auto Insurance (Citizens United Reciprocal Exchange)

Princeton (NJ)

Híbrido

USD 100 000 - 180 000

Tempo integral

há 30 horas
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Currículo e carta de apresentação personalizados, prontos a enviar.

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Vantagens oferecidas por esta oferta de emprego

Health benefits
401(k) with company match
PTO & holidays
Dental and vision

Resumo da oferta

CURE Auto Insurance in Princeton, NJ, is seeking an AI Engineer to design, build, and deploy AI-powered applications and automation. You will work with Generative AI, LLMs, and cloud tech to integrate AI into enterprise systems.

The role requires 5+ years in software with AI/ML, strong Python/SQL, and experience with LangChain, Docker, and Kubernetes. Hybrid work is available with onsite Princeton and Southfield locations.

Qualificações

  • BS or MS in CS/AI or related field.
  • 5+ years software development with 2+ years AI/ML.
  • Proficient in Python, SQL, and API development.
  • Experience with LLMs, Generative AI, and prompt engineering.
  • Familiarity with LangChain, LangGraph, and cloud platforms.

Responsabilidades

  • Design, develop, test, and deploy AI/ML solutions and automation.
  • Build Generative AI features using LLMs, APIs and AI frameworks.
  • Develop AI agents, RAG pipelines, and document processing.
  • Create scalable backend services and REST APIs for AI integration.
  • Work with structured/unstructured data including OCR and document processing.
  • Deploy, monitor, and optimize AI apps in cloud environments.

Conhecimentos

AI/ML development
Python
REST APIs
Generative AI
Cloud platforms
Data processing

Formação académica

Bachelor's degree in CS
Master's degree in AI

Ferramentas

LangChain
LangGraph
Docker
Kubernetes
OpenAI
Vertex AI

Descrição da oferta de emprego

CURE Auto Insurance in Princeton, NJ, is seeking an AI Engineer to design, build, and deploy AI-powered applications and automation. You will work with Generative AI, LLMs, and cloud tech to integrate AI into enterprise systems.

The role requires 5+ years in software with AI/ML, strong Python/SQL, and experience with LangChain, Docker, and Kubernetes. Hybrid work is available with onsite Princeton and Southfield locations.

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