AI Engineer

Responsibilities

• Develop and implement core components of generative AI solutions, including RAG pipelines and context engineering modules
• Build robust, scalable AI microservices and features aligned with business requirements
• Collaborate with senior engineers and product managers to design AI agents and orchestration patterns
• Ensure code quality through unit testing, code reviews, and enhanced evaluation frameworks
• Deploy and maintain AI services by optimizing performance and scalability using Azure and Databricks
• Participate in agile development processes, including daily stand-ups and sprint planning

Requirements

• Minimum of three years of recent experience in software engineering with a focus on AI or data-intensive applications
• Bachelor's degree in Computer Science, Engineering, Artificial Intelligence, or a related technical field (Master's degree preferred)
• Strong programming proficiency in Python
• Hands-on experience with AI/ML frameworks such as LangChain, LlamaIndex, or Semantic Kernel
• Experience with cloud platforms (preferably Azure) and containerization technologies like Docker and Kubernetes
• Proficiency with SDLC tools including Azure DevOps, Git, and CI/CD pipelines
• Must be authorized to work in the U.S. without current or future visa sponsorship

Benefits

• Comprehensive medical, dental, and vision plans
• Disability and life insurance coverage
• 401(k) retirement plans
• Personal Time Off (PTO) and two annual company-provided breaks
• Robust suite of personal well-being and mental health benefits

About the Company

KPMG provides audit, tax, and advisory services for organizations across the most important industries globally. We foster a culture that encourages individual development, embraces inclusivity, and rewards innovative excellence.