Applied AI Engineer

BJAK

Applied AI Engineer position focusing on transforming AI model capabilities into real-world applications. Responsibilities include developing AI features, debugging, and collaborating with product and engineering teams.

Posted 4/15/2026full-timeRemote • 🇸🇬 SingaporeMid-LevelSeniorWebsite

About the role

Key responsibilities & impact

Build and ship AI features end-to-end (model → system → user experience)
Design and iterate on prompts, tools, memory, and agent workflows
Turn raw model outputs into structured, reliable, and predictable behaviors
Debug issues across the full stack (model, orchestration, infra, UX)
Optimize for latency, cost, and production reliability
Develop lightweight evaluation frameworks to measure real-world performance
Work closely with product and engineering to translate ambiguous problems into working systems

Requirements

What you’ll need

Strong foundation in machine learning and modern neural network architectures.
Hands-on experience with training, fine-tuning, or deploying ML models
Ability to write clean, production-quality code
Comfort working across abstraction layers (model → infra → product)
Strong problem-solving skills in ambiguous, fast-moving environments
Bias toward shipping, iteration, and continuous improvement

Benefits

Comp & perks

Competitive salary
Flexible working hours
Professional development budget
Home office setup allowance
Global team events

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningneural network architecturestraining ML modelsfine-tuning ML modelsdeploying ML modelsproduction-quality codeevaluation frameworksdebuggingoptimizationfull stack development

Soft Skills

problem-solvingadaptabilityiterationcontinuous improvementcollaborationcommunicationcreativitycritical thinkingattention to detailtime management