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# Engineer - GenAI

- **Company:** Kpmg LLP
- **Location:** Montvale, NJ, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** .NET Framework, Artificial Intelligence, User Authentication, Microsoft Azure, C Sharp (Programming Language), Code Review, DevOps, Python (Programming Language), Tensorflow, Software Engineering, SQL Databases, Enterprise Software Applications, Pytorch, Large Language Models, Backend, AI Platforms, AngularJS, Scikit Learn, Information Technology, Front End Software Development, Restful APIs, Microservices
- **Published:** July 25, 2026
- **Apply:** https://www.kpmguscareers.com/jobdetail/?jobId=131030

## About the Role

* Minimum three years of recent experience in software development
 * Master's degree from an accredited college or university is preferred. Minimum of a Bachelor's degree in computer science, engineering or related field is required
 * Solid understanding of software engineering such as microservices architecture, RESTful APIs, authentication/authorization
 * Experience building enterprise systems using Python, .NET, C#, Angular, SQL and Azure is preferred
 * Strong Python skills and experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) is preferred with strong communication and analytical skills
 * Experience in building GenAI based applications or functionalities, RAG Algorithms and Agentic frameworks like LangChain and LangGraph

## Description

* Collaborate with product owners and data scientists to translate business needs into AI-powered features and APIs
 * Build and maintain client-facing web apps in Angular + TypeScript, Python or .NET Framework/C# backend services and APIs, secure SQL databases (T-SQL, schema design, stored procs)
 * Leverage Azure services (App Services, Functions, SQL Database, DevOps) for deployment, scaling and monitoring
 * Integrate Large Language Models (LLMs) and other AI services (such as Azure OpenAI, Custom Models Serving) into our front-end and back-end systems
 * Mentor junior engineers on AI principles, code reviews, and system design
 * Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment


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