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# Senior GenAI Engineer

- **Company:** CENTSTONE PARKS, LLC
- **Location:** Jersey City, NJ, United States
- **Experience:** Expert
- **Salary:** $124,800.0 - $145,600.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Agile Methodology, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Engineering, R (Programming Language), Python (Programming Language), Machine Learning, Natural Language Processing, Scrum Methodology, Tensorflow, Software Engineering, Google Cloud, Enterprise Software Applications, Pytorch, Large Language Models, Generative AI, Scikit Learn, Information Technology, Virtual Agents, Automation Anywhere
- **Published:** August 1, 2026
- **Apply:** https://www.careerjet.com/jobad/us4dc47cdd6f90a334811f69759d9fab56

## About the Role

15+ years of software engineering experience.
Strong expertise in Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP), Agentic AI, and Multi-modal RAG.
Proficiency in Python and Java (R preferred) with experience using TensorFlow, PyTorch, and Scikit-learn.
Experience deploying enterprise AI/ML solutions ,AWS, Azure, Google Cloud Platform (GCP).
Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. Position Highlights
Employment Type: Contract
Work Location: Onsite Jersey City, NJ
Domain: Generative AI & Enterprise AI Solutions
Core Technologies: Generative AI, LLMs, NLP, Agentic AI, Multi-modal RAG
Programming Languages: Python, Java, R (Preferred)
Frameworks: TensorFlow, PyTorch, Scikit-learn
Cloud Platforms: AWS, Azure, Google Cloud Platform (GCP)
Methodology: Agile/Scrum
Interview Process: Coding Round (Mandatory Before L1 Interview)
If you're an experienced Senior GenAI Engineer passionate about building enterprise-scale AI solutions, apply today to be part of an innovative and forward-thinking team.

## Description

We are seeking a highly experienced Senior GenAI Engineer to design, develop, and deploy enterprise-grade Generative AI solutions. The ideal candidate will have expertise in Large Language Models (LLMs), Agentic AI, multi-modal RAG systems, and cloud-based AI platforms while delivering scalable AI applications that solve complex business challenges. Responsibilities
Design, develop, deploy enterprise-grade ,Generative AI applications ,AI-powered solutions.
Build scalable Agentic AI systems, autonomous AI workflows, and multi-modal RAG solutions.
Integrate AI capabilities into enterprise applications and optimize AI models for production environments.
Collaborate with business stakeholders and engineering teams to translate business requirements into AI-driven solutions.
Mentor engineering teams while establishing AI development best practices and monitoring model performance. Requirements


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