AI Product Engineer

About the company

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.

Your tasks

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.

Requirements

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 requirements
• Experience 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.

How to apply

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