AI Product Engineer

Our client is a leading Multitechnology social media company. As an Applied AI Product Engineer, you will build internal products and integrations that help content, product, and research teams design, evaluate, and launch AI-powered experiences. This is a 06 month [Renewable] Contract. Job Responsibilities:Collaborate with technical and non-technical stakeholders to understand business problems, define desired outcomes, and identify constraints before selecting appropriate solutions.Design and build end-to-end internal tools, integrations, and data workflows that improve operational efficiency and user experience.Transform prototypes and one-off solutions into scalable, reliable, and reusable products using production engineering best practices, including testing, observability, error handling, and resilience.Develop evaluation frameworks and feedback loops for AI-powered workflows, leveraging AI coding tools responsibly and validating all generated code.Measure product adoption, solution quality, time savings, and reductions in manual support to drive continuous improvement.Create clear documentation and onboarding resources that enable users and engineers to operate and maintain solutions independently.Manage and prioritize multiple technical workstreams, balancing business impact, technical complexity, and available resources.Job Requirements:Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience, with more than 5 years of experience in software engineering, product engineering, ML engineering, or technical solutions development.Proven ability to independently own technical products from problem definition and solution design through implementation, launch, and continuous improvement, working effectively with ambiguous requirementsExperience building or integrating AI/ML-enabled products, evaluation systems, or agentic workflows.Proficiency in one or more programming languages, such as Python, JavaScript/TypeScript, Java, PHP/Hack, or C++, with experience building APIs, backend services, data workflows, or full-stack applications.Strong understanding of production engineering practices, including automated testing, observability, debugging, error handling, version control, code reviews, and reliable system design.Experience leveraging data, metrics, AI/ML technologies, and AI-assisted development tools to improve product quality and engineering efficiency, with strong communication skills, product judgment, and a commitment to responsible AI practices. If you are keen on this excitingopportunity, kindly ‘Apply Now’.*Referrals are greatly appreciated*By sending us yourpersonal data and curriculum vitae (CV), you are deemed to consent to MorganMckinley Pte Ltd and its affiliates to collect, use and disclose your personaldata for the purposes set out in the Privacy Policy available at https://www.morganmckinley.com/sg/privacy-policy. You acknowledge that you haveread, understood, and agree with the Privacy Policy.Morgan McKinley Pte LtdRamitha RavindranEA Licence No: 11C5502EA Registration No. R1765539