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Open nowPosted 3 days ago

Applied AI Product Engineer

ALLEGIS GROUP SINGAPORE PRIVATE LIMITED

Pay
SGD 16,000 – SGD 18,000 a Monthly
Where
Singapore
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Your applicationOpen nowApplied AI Product EngineerALLEGIS GROUP SINGAPORE PRIVATE LIMITED · Singapore

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12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
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  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: posted 3 days ago

The posting

Overview

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 make sure the right problems are being solved. 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.

Key Responsibilities

  • 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, actionable errors and safe failure handling
  • Use AI coding tools thoughtfully, reviewing and validating all generated work
  • Measure adoption, quality, time saved and reduction in manual support
  • Create documentation and onboarding paths so users and engineers can operate independently
  • Own and prioritise several technical workstreams, making clear trade-offs based on impact and complexity

What a Typical Day Looks Like

  • Clarifying the underlying user problem and success criteria
  • Designing and building APIs, internal tools, data workflows and product integrations
  • Testing, debugging, instrumenting and documenting what you build
  • Reviewing quality, adoption and workflow metrics
  • Working with internal content, product and cross-functional teams to gather feedback and iterate

Minimum Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering or a related 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
  • Proficiency in one or more general-purpose programming languages, such as Python, JavaScript/TypeScript, Java, PHP/Hack or C++
  • 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

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 shaping product roadmaps by turning user feedback into engineering requirements
  • Experience using AI-assisted development or LLM-based systems to improve engineering velocity or redesign workflows, while independently reviewing and validating the results
  • Experience contributing to shared codebases with 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

We regret to inform that only shortlisted candidates will be notified.

EA Reg No: R26162461, Nicki Thng

Allegis Group Singapore Pte Ltd, Company Reg No. 200909448N, EA License No. 10C4544

Posting text belongs to the employer. Removal requests: contact us.

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