Applied AI Product Engineer

Russell Tobin; Singapore; Remote; SGD 110,000 - 190,000; Full time

Job summary

Russell Tobin is seeking an Applied AI Product Engineer to design, code, test, and operate AI-powered internal products and data workflows. You will partner with content, product, and research teams to understand problems and implement robust, scalable solutions across the product lifecycle.

The role emphasizes turning prototypes into reusable capabilities and building self-service tools, with a focus on AI product evaluation tooling and analytics workflows.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
• 6+ years of experience building production software in software engineering, product engineering, ML engineering, or a hands on technical solutions role.
• Experience independently owning scoped technical products from an ambiguous problem through design, implementation, launch, and iteration.
• Experience building or integrating APIs, backend services, data workflows, or full-stack products, including debugging complex integration issues.
• Experience applying production engineering practices such as automated testing, observability, actionable errors, and safe failure handling.
• Experience using data and metrics to evaluate outcomes and communicating technical concepts and trade-offs to technical and non-technical stakeholders.

Responsibilities

• Partner with users to understand problems, outcomes, and constraints before selecting a solution.
• Build end-to-end internal products, integrations and data workflows.
• Turn prototypes into reliable, reusable capabilities.
• Design evaluation and feedback loops for AI-powered workflows.
• Apply production engineering practices including testing and observability.

Skills

End-to-end product ownership

API integration

Full-stack development

Production engineering

Data-driven decision making

Stakeholder communication

Education

Bachelor's degree in Computer Science / Computer Engineering or related field

Tools

Version control

Code review

Automated testing

Job description

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. You will work across the product lifecycle, from understanding ambiguous user problems and defining a technical approach to implementation, launch, and iteration.

This is a hands on engineering role. Most of your time will be spent designing, coding, testing, and operating solutions, with enough internal user interaction to ensure we are solving the right problems. A core part of the role is turning repeated technical support and manual workflows into reliable self-service tools. The work spans AI product evaluation tooling, data and analytics workflows, and new applied-AI prototypes.

What you’ll do

• Partner with technical and non-technical users to understand the problem, desired outcome, and constraints before selecting a solution.
• Build end-to-end internal products, integrations and data workflows.
• Turn prototypes and one-off solutions into reliable, reusable capabilities.
• Design evaluation and feedback loops for AI-powered workflows.
• Apply production engineering practices, including testing, observability 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. You will work across the product lifecycle, from understanding ambiguous user problems and defining a technical approach to implementation, launch, and iteration.

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. You will work across the product lifecycle, from understanding ambiguous user problems and defining a technical approach to implementation, launch, and iteration.

This is a hands on engineering role. Most of your time will be spent designing, coding, testing, and operating solutions, with enough internal user interaction to ensure we are solving the right problems. A core part of the role is turning repeated technical support and manual workflows into reliable self-service tools. The work spans AI product evaluation tooling, data and analytics workflows, and new applied-AI prototypes.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
• 6+ years of experience building production software in software engineering, product engineering, ML engineering, or a hands on technical solutions role.
• Experience independently owning scoped technical products from an ambiguous problem through design, implementation, launch, and iteration.
• Experience building or integrating APIs, backend services, data workflows, or full-stack products, including debugging complex integration issues.
• Experience applying production engineering practices such as automated testing, observability, actionable errors, and safe failure handling.
• Experience using data and metrics to evaluate outcomes and communicating technical concepts and trade-off s to technical and non-technical stakeholders.

Preferred qualifications

• Experience building or integrating AI/ML-enabled products, evaluation systems, or agentic workflows.
• Experience building internal tools, developer platforms, or reusable self-service capabilities.
• Strong product judgment or experience influencing product roadmaps by translating user feedback into actionable engineering requirements.
• Demonstrated experience using AI-assisted development or LLM-based systems to improve engineering velocity or redesign operational workflows, while independently reviewing and validating the resulting work.
• Experience contributing to shared codebases using version control, code review, automated testing, and documented engineering practices.
• Experience applying responsible AI practices such as risk assessment, bias mitigation, and quality and accuracy reviews.

CONTRACT DURATION- 6 MONTHS

WORK MODE- FULLY REMOTE

NOTE: This role is open for only Singapore citizens and PRs