AI-Driven Full-Stack Software Engineer

KPMG LLP; Denver (CO); Hybrid; USD 90,000 - 120,000; Full time

Job summary

KPMG LLP is seeking a Software Engineer to join the Tax Ignition Team in a hybrid role based in Denver. You will collaborate with product owners and data scientists to translate business needs into AI-powered features and APIs, and build client-facing web apps using Angular and TypeScript with Python or .NET backend services.

You will integrate LLMs and other AI services, mentor junior engineers, and contribute to secure, scalable enterprise systems.

Qualifications

• Minimum one year of recent experience in software development.
• Bachelor's degree in computer science, engineering or related field; master's degree preferred.
• Solid understanding of microservices, RESTful APIs, authentication/authorization
• Experience with Python, .NET/C#, Angular, SQL and Azure in enterprise systems.
• Strong Python skills and ML frameworks (PyTorch, TensorFlow, scikit-learn) are preferred with strong communication and analytical skills.

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 with backend in Python or .NET
• Secure SQL databases, including T-SQL, schema design and stored procedures
• Integrate LLMs and AI services into front-end and back-end systems
• Mentor junior engineers on AI principles, code reviews, and system design
• Act with integrity and professionalism to uphold KPMG’s respectful work environment

Tools

Angular

TypeScript

Python

C#/.NET

SQL

Azure

Job description

KPMG LLP is seeking a Software Engineer to join the Tax Ignition Team in a hybrid role based in Denver. You will collaborate with product owners and data scientists to translate business needs into AI-powered features and APIs, and build client-facing web apps using Angular and TypeScript with Python or .NET backend services.

You will integrate LLMs and other AI services, mentor junior engineers, and contribute to secure, scalable enterprise systems.