Lead .NET Full‑Stack & AI Services Engineer

KPMG LLP

Atlanta (GA)

On-site

USD 120,000 - 150,000

Full time

14 days+
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Job summary

KPMG LLP seeks a Lead Engineer I for its Tax Ignition Team. You will translate business needs into AI‑powered features, architect scalable microservices, and develop client‑facing apps using Angular, TypeScript, Python, or C# on Azure.

You will deploy, monitor, and scale solutions, integrate LLMs, and ensure secure data handling. Strong leadership, communications and five years of software experience are required.

Qualifications

  • Minimum five years of software development experience and systems architecture.
  • Bachelor's degree in computer science, engineering or related field preferred; Master's desired.
  • Solid understanding of microservices architecture, RESTful APIs, authentication/authorization.
  • Experience building enterprise systems using Python, .NET, C#, Angular, SQL and Azure preferred.
  • Strong communication and analytical skills; experience with ML frameworks (PyTorch, TensorFlow, scikit‑learn) preferred.

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 backend services and APIs, secure SQL databases.
  • Leverage Azure services for deployment, scaling and monitoring.
  • Integrate LLMs and other AI services into front‑end and back‑end systems.
  • Act with integrity and professionalism to uphold KPMG's respectful work environment.

Skills

Systems architecture
Communication
Analytical skills
RESTful APIs
Authentication/Authorization

Education

Bachelor's degree in CS/Engineering
Master's degree in CS/Engineering

Tools

Azure
Angular
TypeScript
Python
.NET Framework/C#
SQL

Job description

KPMG LLP seeks a Lead Engineer I for its Tax Ignition Team. You will translate business needs into AI‑powered features, architect scalable microservices, and develop client‑facing apps using Angular, TypeScript, Python, or C# on Azure.

You will deploy, monitor, and scale solutions, integrate LLMs, and ensure secure data handling. Strong leadership, communications and five years of software experience are required.

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