Lead Engineer I - GenAI

KPMG LLP; Denver (CO); Hybrid; USD 120,000 - 170,000; Full time

Job summary

KPMG LLP is seeking a Lead Engineer I to join our Ignition Tax Product Team in a hybrid work environment. The role involves translating business needs into AI-powered features and APIs, and building scalable microservices for model inference on Azure or similar platforms.

You will develop client-facing web apps with Angular + TypeScript and Python or .NET, integrate LLMs, deploy with Azure DevOps, and mentor junior engineers while upholding KPMG's standards of integrity.

Qualifications

• Minimum five years of software development and systems architecture experience.
• Bachelor's degree in computer science, engineering or related field required; Master's preferred.
• Strong knowledge of microservices, RESTful APIs, and authentication/authorization.

Responsibilities

• Collaborate with product owners and data scientists to translate business needs into AI-powered features and APIs.
• Architect, develop, and maintain scalable microservices for model inference on Azure or similar cloud.
• Build client-facing web apps using Angular + TypeScript with Python or .NET backend services and secure SQL databases.
• Leverage Azure services for deployment, scaling and monitoring.
• Integrate large language models and AI services into front-end and back-end systems.
• Maintain professional, respectful work environment and mentor junior engineers.

Skills

Software development

Systems architecture

Mentoring

Code reviews

Communication

Education

Bachelor's degree in Computer Science or related field

Master's degree preferred

Tools

Python

C#

Angular

SQL

Azure

RESTful APIs

ML frameworks (PyTorch, TensorFlow, scikit-learn)

Job description

KPMG is currently seeking a Lead Engineer I to join our Ignition Tax Product Team. This is a hybrid work opportunity.

Responsibilities:

• Collaborate with product owners and data scientists to translate business needs into AI-powered features and APIs
• Architect, develop, and maintain scalable microservices for model inference (on Azure or similar)
• 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
• Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment

Qualifications:

• Minimum five years of recent experience in software development and systems architecture
• 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; experience in building GenAI based applications or functionalities, RAG Algorithms and Agentic Frameworks like LangChain and LangGraph
• Take full ownership of large codebases and functional modules, overseeing their development from inception to deployment
• Mentor junior engineers in AI concepts, conduct code reviews, and guide system design to foster technical growth and best practices as well as strong communication and analytical skills