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# AI Engineer

- **Company:** Cure Auto Insurance
- **Location:** Princeton, NJ, United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Java (Programming Language), .NET Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Software Applications, Optical Character Recognition (OCR), Microsoft Azure, Cloud Computing, Cloud Engineering, Databases, Continuous Integration, Software Debugging, Information Extraction, Python (Programming Language), Machine Learning, OpenAI, Software Engineering, SQL Databases, Unstructured Data, Google Cloud, Enterprise Software Applications, Cloud Platform System, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Google Vertex AI, Generative AI, Backend, Agentic-AI, Git, AI Platforms, Kubernetes, Information Technology, Machine Learning Operations, Api Design, Google Gemini, Restful APIs, Intelligent Document Processing, Docker
- **Published:** October 19, 2026
- **Apply:** https://www.juju.com/job/16_5a549e5b

## About the Role

We are seeking a skilled and motivated AI Engineer to design, develop, and deploy AI-powered applications and automation solutions. The ideal candidate will have hands-on experience with Generative AI, Large Language Models (LLMs), cloud technologies, and integrating AI capabilities into enterprise applications., * Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

 * 5+ years of software development experience in Java or .net or python, in that 2 years hands-on AI/ML development.
 * Strong proficiency in Python, SQL, and API development.
 * Experience working with LLMs, Generative AI, and prompt engineering.
 * Familiarity with AI frameworks such as LangChain, LangGraph, or similar technologies.
 * Experience with cloud platforms such as Google Cloud Platform (GCP), AWS, or Azure.
 * Knowledge of REST APIs, databases, Git, Docker, and CI/CD pipelines.
 * Strong analytical, debugging, and problem-solving skills.
 * Preferred Qualifications
 * Experience with Google Vertex AI, Gemini, OpenAI, or other enterprise AI platforms.
 * Experience with agentic AI, RAG architectures, embeddings, and vector databases.
 * Familiarity with Google Cloud Run, Kubernetes, and cloud-native application development.
 * Experience with Document AI, OCR, and intelligent document processing.
 * Understanding of MLOps, AI model evaluation, monitoring, and optimization.
 * Familiarity with enterprise security, responsible AI, and AI governance principles, Physical Actions/Environment: Required job duties consist of prompt and regular attendance, ability to frequently move about the office to coordinate work with others; standing, sitting and typing for extended periods; and lifting and/or carrying up to 5 lbs. Ability to frequently communicate with others in-person, on the phone/virtually, and in writing. Ability to read, understand, process and evaluate large amounts of technical information and make related, informed decisions., Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

## Description

* Design, develop, test, and deploy AI/ML solutions and intelligent automation applications.
 * Build and integrate Generative AI solutions using LLMs, APIs, and AI frameworks.
 * Develop AI agents, Retrieval-Augmented Generation (RAG) pipelines, and document processing solutions.
 * Build scalable backend services and REST APIs to integrate AI capabilities with existing systems.
 * Work with structured and unstructured data, including document extraction, OCR, and automated analysis.
 * Deploy, monitor, and optimize AI applications in cloud environments.
 * Collaborate with cross-functional teams to translate business requirements into technical solutions.
 * Ensure AI solutions meet performance, security, reliability, and data privacy standards.