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

Adecco Portugal; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Adecco Portugal partners with a US tech MNC to hire an AI Product Engineer on a contract basis in Singapore. You will build scalable AI-powered internal tools, data workflows, and integrations to streamline operations and empower teams with self-service solutions.

Six-plus years in software/product/ML engineering and strong coding skills are required. You'll work with stakeholders, apply engineering best practices, and leverage AI-assisted tooling to improve productivity while ensuring

Qualifications

• Bachelor's degree in CS, CE or related field.
• 6+ years in software/product/ML engineering.
• Proficient in Python/JS/TS/Java/C++.
• Experience with APIs, back-end services, data workflows.
• Strong practices in testing, observability, and error handling.

Responsibilities

• Identify user needs with stakeholders and define requirements.
• Build and maintain internal applications, APIs, integrations, and data workflows.
• Convert prototypes into scalable, reusable tools.
• Develop evaluation frameworks and feedback loops for AI-powered products.
• Apply engineering best practices, including testing, monitoring, and reliability.
• Use AI-assisted development tools responsibly and validate outputs.
• Measure adoption, quality, and productivity gains.
• Create documentation and onboarding resources.
• Manage multiple technical projects balancing impact and resources.

Skills

Python

JavaScript/TypeScript

Java

C++

APIs

Data workflows

Full-stack

Testing

Observability

Metrics-driven decisions

Education

Bachelor's degree in Computer Science or related field

Tools

Git

CI/CD

Job description

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.