Assistant Manager

KPMG Delivery Network (KDN) is seeking an experienced Full Stack Engineer. This role is pivotal in designing, developing, and deploying full-stack solutions that leverage AI technologies, including Generative AI, Machine Learning (ML), and Natural Language Processing (NLP). As a Full Stack Engineer, you will work on building end-to-end AI-powered applications and platforms, integrating frontend and backend technologies, and ensuring seamless user experiences. This role requires a strong background in both frontend and backend development, with a focus on AI use cases.

Key responsibilities include:

• Design, develop, and maintain scalable web applications and platforms that incorporate AI models and services.
• Work on both frontend and backend components, ensuring that AI models are effectively integrated into the application stack.
• Build and optimize user interfaces using modern frontend frameworks such as React.js, Angular, or Vue.js.
• Develop robust backend systems using Node.js, Python, or similar technologies, with a focus on API development and data management.

• Collaborate with data scientists and AI engineers to integrate AI/ML models into web applications, ensuring smooth deployment and operation.
• Implement AI-driven features, such as personalized recommendations, predictive analytics, and NLP-based search functionalities, within the application.
• Utilize cloud-based AI services (e.g., Azure AI, AWS SageMaker) to deploy and manage AI models within the application infrastructure.

• Lead the development of AI use cases, from concept through to deployment, ensuring that the full-stack solutions are aligned with business objectives.
• Develop and maintain microservices and APIs that facilitate the integration of AI models with frontend applications.
• Implement data processing and transformation pipelines to support AI model training and inference within the application.

• Work closely with AI Foundry teams, including data scientists, AI engineers, and UX designers, to translate AI concepts into functional applications.
• Engage with stakeholders across KPMG member firms to understand their requirements and deliver tailored AI solutions.
• Participate in code reviews, provide technical guidance, and mentor junior developers within the team.

• Optimize the performance of AI-driven web applications, ensuring fast load times, scalability, and efficient resource usage.
• Implement security best practices to protect data, including encryption, secure authentication, and compliance with data protection regulations.
• Continuously monitor and improve application performance, implementing updates and patches as needed.

• Implement CI/CD pipelines to automate the testing, deployment, and scaling of AI-powered web applications.
• Use containerization (Docker, Kubernetes) to manage and deploy AI applications across multiple environments.
• Ensure that the deployment processes are streamlined and that the AI applications can scale to meet demand.

• Stay updated with latest advancements in AI, web development, and cloud computing, applying new techniques to improve application functionality.
• Experiment with new technologies and frameworks to enhance the capabilities and performance of AI-driven applications.
• Contribute to the development of best practices and technical standards within the AI Foundry.

Educational Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Certifications in AI/ML, web development, or cloud computing are advantageous.

Work experience

• 5+ years of experience in full-stack development, with a strong focus on AI.
• Proven experience in developing and deploying web applications that integrate AI models and services.
• Hands-on experience with frontend frameworks (React.js, Angular, Vue.js) and backend technologies (Node.js, Python).
• Experience working in AI Labs or similar environments, with a focus on building AI-driven solutions.

Skills

• Proficiency in both frontend and backend development, with a strong understanding of web architecture and design principles.
• Strong knowledge of AI/ML frameworks and libraries, and experience integrating AI models into full-stack applications.
• Expertise in cloud platforms (e.g., Azure, AWS) and experience deploying AI models using cloud services.
• Familiarity with DevOps practices, including CI/CD pipelines, containerization, and automated deployment processes.
• Excellent problem-solving skills and the ability to work independently and as part of a cross-functional team.
• Strong communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders.