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KPMG US · 4 days ago

Sr. Engineer - GenAI

Montvale, NJ

Full-time

Hybrid

Mid, Senior Level

3+ years exp

KPMG US is a well-regarded firm providing audit, tax, and advisory services. They are seeking a Senior Engineer to join their Tax Ignition Team, focusing on developing AI-powered features and APIs while collaborating with product owners and data scientists.

Financial Services

No H1B

Responsibilities

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

Qualification

PythonAzureGenAI applicationsAngularC#SQLMicroservices architectureAnalytical skillsCommunication skillsMentoring

Required

Minimum three years of recent experience in software development

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 in building GenAI based applications or functionalities, RAG Algorithms and Agentic frameworks like LangChain and LangGraph

Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity

Preferred

Master's degree from an accredited college or university is preferred

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