KPMG is seeking a Sr. Software Engineer to join their KPMGI Tax and Legal Team to deliver real results for clients by translating business needs into AI-powered features and APIs, building and maintaining client-facing web apps, and integrating Large Language Models into front-end and back-end systems.
Requirements
- Solid understanding of software engineering such as microservices architecture, RESTful APIs, authentication/authorization
- Experience building enterprise systems using Python, .NET, C-Sharp, Angular, SQL and Azure is preferred
- Strong Python skills and experience with GenAI and ML frameworks (PyTorch, TensorFlow, scikit‑learn) is preferred
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-Sharp 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), as well as 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
Other
- 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.
- Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future
- Strong communication and analytical skills
- KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws.
