AI Product Engineer

Job Description

DSO National Laboratories (DSO) is Singapore’s largest defence research and development (R&D) organisation, with the critical mission to develop technological solutions to sharpen the cutting edge of Singapore's national security. At DSO, you will develop more than just a career. This is where you will make a real impact and shape the future of defence across the spectrum of air, land, sea, space and cyberspace.

The Digital Division leads the digital transformation of DSO through the master planning and policies, delivering digital capabilities through IT infrastructure, and providing one stop service to corporate and R&D Divisions. The Digital Division will transform the way we work, our workplace, and the capabilities we deliver to the MINDEF/SAF and for the security of Singapore.

People are DSO’s greatest asset. You will get to realise your career aspirations and develop your own niche either as a deep technical expert or a leader in the team. With frequent career dialogues and a robust training and development framework, we will provide you with the necessary development tools for you to reach your potential. You will also be recognised and rewarded through competitive remuneration packages and scholarship opportunities.

AI Product Engineer

We are looking for a versatile, business-focused AI Product Engineer to run AI projects from conception to implementation. In this role, you will bridge user needs, AI capabilities, and underlying infrastructure through collaboration with teams in Digital. You will be responsible for identifying high-impact AI use cases, designing rapid Proofs of Concept (PoCs), and rigorously evaluating Commercial Off-The-Shelf (COTS) products against in-house builds.

In This Role, You Will

Problem Discovery, Risk & Strategy
Identify Opportunities: Collaborate with R&D and Corporate stakeholders to pinpoint friction points and user problems that can be solved using AI, GenAI, and LLM
Define Success: Establish clear Objectives and Key Areas (OKRs) and measurable metrics.
Assess AI Risk: Proactively evaluate risks, data compliance and governance matters related to AI adoption
Rapid Prototyping & COTS Product Evaluation
Build Prototypes: Develop and deploy lightweight, functional AI prototypes using frameworks like LangChain, LlamaIndex, or low-code/no-code AI orchestration platforms.
Market Research: Scout and assess third-party Commercial Off-The-Shelf (COTS) AI software and products for adoption.
Proof of Concepts for COTS: Work with respective teams to conduct the product evaluation, establish clear OKR, and proof of concepts to evaluate the effectiveness of the products.
Scaling to AI Products
Product Roadmaps: For successful PoCs, define the financial and technical requirements needed to transition the prototype into a production-ready software product.
Cross-Functional Collaboration: Partner with software engineers, data engineers, and infrastructure teams to ensure smooth integration and AI products and adoption by the end users.
Feedback Loops: Set up monitoring dashboards to track user feedback to iterate on the AI product post-launch.

Job Requirements

Degree in Computer Science
Experience: 5+ years of experience working as a Product Manager, Engagement Engineer, Technical Product Manager, or Full- Stack Engineer with focus on AI deployment.
AI Technical Literacy: Strong proficiency with modern AI ecosystems (e.g., OpenAI API, Anthropic, Hugging Face, vector databases, or cloud AI suites like AWS Bedrock/Azure OpenAI).
Programming: Competency in Python and standard data frameworks for quick prototyping and API integrations.
Communication: Ability to translate complex AI user requirements into technical requirements and convey to the technical teams.