AI Product Engineer (US Tech MNC, up to 20k)

ADECCO PERSONNEL PTE LTD; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Adecco Personnel Pte Ltd is partnering with a US tech MNC to hire an AI Product Engineer in Singapore. You will build and maintain scalable AI-powered internal tools, integrations, and data workflows to streamline operations and enable teams to work more efficiently through reliable, self-service solutions.

The role starts as a contract and requires 6+ years of software/ML engineering experience, with strong proficiency in Python or JS/TS and APIs.

Qualifications

• Bachelor's degree or equivalent experience in CS/engineering.
• 6+ years in software or ML engineering, or related fields.
• Proven ability to deliver technical products from discovery to launch.
• Proficiency in Python, JS/TS, Java or C++.
• Experience with APIs, backend services and data workflows.
• Strong production engineering practices and observability.

Responsibilities

• Partner with stakeholders to identify user needs and requirements.
• Develop internal apps, APIs, integrations, and data workflows.
• Turn prototypes into scalable, reusable tools.
• Build evaluation frameworks and feedback loops for AI products.
• Apply testing, monitoring, and reliable system practices.
• Use AI coding tools responsibly and validate outputs.
• Measure adoption, quality and productivity gains; reduce manual effort.
• Create documentation and onboarding resources for independent use.
• Manage multiple projects balancing impact, complexity and resources.

Skills

Python

JavaScript/TypeScript

Java

C++

APIs

Backend services

Data workflows

Full-stack development

Observability

Metrics-driven decisions

Education

Bachelor's degree in Computer Science or related field

Tools

Git

CI/CD

LLM tooling

Job description

The Opportunity

Adecco is partnering with a US tech MNC to look for an AI Product Engineer.

Build and maintain scalable AI-powered internal tools, integrations, and data workflows that streamline operations, improve product evaluation , and enable teams to work more efficiently through reliable, self-service solutions.

The role will start out as a contract

The Talent

• Bachelor's degree in Computer Science, Computer Engineering, a related field, or equivalent experience.
• At least 6 years of experience in software engineering, product engineering, ML engineering, or technical solutions development.
• Proven ability to independently deliver technical products from problem discovery through launch and iteration.
• Proficiency in a general-purpose programming language such as Python, JavaScript/TypeScript, Java, or C++ .
• Experience with APIs, backend services, data workflows, or full-stack development.
• Strong knowledge of production engineering practices, including testing, observability, and error handling.
• Ability to use metrics to evaluate results and communicate technical decisions to diverse stakeholders.

Good to have:

• Experience developing AI/ML applications, evaluation systems, or agentic workflows .
• Experience building internal tools, developer platforms, and self-service solutions.
• Strong product judgment and the ability to translate user feedback into engineering improvements.
• Experience using AI coding tools or LLM-based systems to improve productivity and streamline operations.
• Familiarity with version control, code reviews, automated testing, and engineering documentation.
• Understanding of responsible AI practices, including risk assessment, bias mitigation, and quality evaluation.

Job Description

• Work with stakeholders to identify user needs, define requirements, and develop suitable technical solutions.
• Build and maintain internal applications, APIs, integrations, and data workflows.
• Convert prototypes and manual processes into scalable, reusable tools.
• Develop evaluation frameworks and feedback loops to improve AI-powered products.
• Apply engineering best practices, including testing, monitoring, error handling, and system reliability.
• Use AI-assisted development tools responsibly, validating generated code and outputs.
• Measure adoption, quality, productivity gains, and reductions in manual effort.
• Create documentation and onboarding resources to support independent usage.
• Manage multiple technical projects while balancing impact, complexity, and resources.