AI Centre of Excellence, Full-Stack Engineer

AI Centre of Excellence, Full-Stack Engineer (Generative AI)

Work Type: Permanent

Start Date for Applications: 1 Sept 2025

KPMG in Singapore is part of a global organization of independent professional services firms providing Audit, Tax and Advisory services. We operate in 143 countries and territories with more than 273,000 partners and employees working in member firms around the world. Each KPMG firm is a legally distinct and separate entity and describes itself as such. KPMG International Limited is a private English company limited by guarantee. KPMG International Limited and its related entities do not provide services to clients.

Job Description

KPMG’s Trusted AI Centre of Excellence is a catalyst to help organisations and industries unlock transformative value with AI. We deliver trustworthy, intelligent solutions by fusing cutting-edge innovation and industry-leading practices with trust at the core.

We are seeking a highly motivated Full-Stack Engineer with strong experience in backend development, cloud infrastructure, and hands-on integration of Generative AI technologies. This role offers the opportunity to work on advanced AI-driven platforms, contributing to scalable applications that deliver meaningful business impact.

Responsibilities

As a Full-Stack Engineer, you will be responsible for integrating Generative AI into enterprise applications, helping to design AI-powered workflows, and enabling intelligent knowledge retrieval systems. You will work closely with architects, product owners, and stakeholders to bring AI-driven solutions into production and ensure they deliver real business value.

You will contribute to the development of scalable backend services, ensuring that applications are secure, efficient, and maintainable. On the frontend, you will help create user-friendly interfaces that deliver a seamless experience, working closely with designers and product teams to translate requirements into polished solutions.

Beyond application development, you will take ownership of cloud deployment and infrastructure. This will include defining infrastructure-as-code, setting up automation pipelines, and ensuring that solutions are built to be robust, compliant, and scalable. You will help embed DevOps best practices and contribute to the continuous improvement of the team’s engineering processes.

Collaboration is key in this role. You will work as part of a multidisciplinary team, participate in sprint planning, code reviews, and technical discussions, and share your knowledge to uplift the capability of the wider group.

Qualifications

To succeed in this role, you will need:

• Hands-on experience with Generative AI technologies such as LLMs, embeddings, and vector databases (pgvector, Pinecone, Weaviate, or similar).
• Familiarity with orchestration tools, such as LangChain or LlamaIndex, is important, along with experience in designing conversational agents or AI-augmented workflows.
• Strong proficiency in Python is required, particularly in building production-grade APIs and services using frameworks such as FastAPI , Flask , or Django .
• You should also bring a solid understanding of system architecture and design patterns.
• You will also need strong frontend development skills with TypeScript and Next.js , as well as the ability to build clean, reusable components using ShadCN/UI and Tailwind CSS .
• On the infrastructure side, proficiency with Terraform is essential, alongside experience working with cloud environments such as Azure (preferred) , AWS , or GCP .
• A good understanding of networking, security, CI/CD pipelines (GitHub Actions or equivalent), and containerisation (Docker, Kubernetes/AKS) will be important in enabling smooth deployments and scalable solutions.

Preferred Skills

Experience with authentication and identity management tools, such as Auth0 or Azure AD , will be an advantage. Additionally, exposure to multi-agent AI systems or advanced orchestration frameworks will be beneficial.

Soft Skills

Beyond technical expertise, we seek individuals with:

• Strong problem-solving skills who can break down complex challenges into practical solutions.
• Excellent communication skills are vital, particularly the ability to explain technical concepts clearly to non-technical stakeholders.
• You should be a collaborative team player, able to work across engineering, data, and business functions, while also being adaptable and comfortable working in fast-paced environments with evolving priorities.
• Above all, we value innovation, ownership, and a proactive attitude—a willingness to experiment with new technologies, take initiative, and deliver high-quality outcomes.

Benefits

This is an opportunity to work at the forefront of AI and innovation within enterprise environments. You will join a highly skilled and forward-thinking team, with the opportunity to shape solutions that have a global impact. We offer an environment that supports continuous learning, experimentation, and professional growth, giving you the space to build your expertise while contributing to cutting-edge projects.

Only shortlisted candidates will be contacted by KPMG Talent Acquisition team. Personal data collected will be used for recruitment purposes only.

At KPMG in Singapore we are committed to creating a diverse and inclusive workplace. We believe that diversity of thought, background and experience strengthens relationships and delivers meaningful benefits to our people, our clients and communities. As an equal opportunity employer, all qualified applicants will receive consideration for employment regardless of age, race, gender identity or expression, colour, marital status, religion, sexual orientation, disability, or other non-merit factors. We celebrate the different talents that our people bring and support every staff member in their journey to achieve personal and professional growth. One of the ways we do this is through Take Charge: Flexi-work, our flexible working framework which enables agile and innovative teams to help deliver our business goals.

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