Job Title: Senior AI & Machine Learning Engineer

Work Location: Bonifacio Global City (BGC)

Work Set-up: On-site

Shift: Day Shift

Salary Range: Up to ₱170,000

Headcount: 4

Start Date: ASAP

Application Note: Kindly upload an updated CV upon application.

About the Team

The Consumer Engineering (CE) team builds all consumer-facing experiences and is expanding its capabilities to power the next generation of AI-driven healthcare solutions. We are developing innovative platforms and frameworks designed to make healthcare simple, accessible, and personalized.

As a Senior AI & Machine Learning Engineer, you’ll play a key technical role in designing and building the core AI/ML systems that power these experiences.

Key Responsibilities

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  Design, develop, test, deploy, and maintain machine learning models and AI-powered systems (including LLM-based applications).

  
  


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  Participate in the full AI lifecycle—from brainstorming and prototyping to production deployment.

  
  


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  Architect and manage cloud infrastructure for AI systems using Infrastructure-as-Code.

  
  


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  Build reusable AI/ML components and frameworks to improve innovation and efficiency.

  
  


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  Provide mentorship and technical guidance to junior engineers.

  
  


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  Collaborate with product, design, and engineering teams to deliver scalable, impactful AI solutions.

  
  


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  Stay updated on AI/ML advancements and contribute innovative solutions to healthcare challenges.

  
  


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  Troubleshoot complex technical issues and implement root-cause fixes.

  
  

Qualifications

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  5+ years of professional software engineering experience, with a strong focus on building and deploying AI/ML models and systems.

  
  


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  Deep understanding of AI/ML concepts, algorithms, and model architectures.

  
  


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  Strong background in software design, data structures, and algorithms.

  
  


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  Proficiency with technologies such as Python, Node.js, Java, or Go, cloud platforms (AWS, GCP, Azure), CI/CD pipelines, REST/WebSocket APIs, and modern databases.

  
  


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  Hands-on experience in LLM-based applications and production deployment.

  
  


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  Familiarity with machine learning domains such as NLP, Computer Vision, Recommendation Systems, and Anomaly Detection.

  
  


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  Bachelor’s degree in Computer Science, Engineering, Data Science, or related field (or equivalent experience).

  
  


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  Excellent analytical, communication, and problem-solving skills.

  
  

Nice-to-Haves

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  Experience building large-scale, consumer-facing applications.

  
  


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  Background in healthcare technology or regulated environments.

  
  


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  Contributions to open-source AI/ML projects or personal SaaS projects.

  
  

Why Join Us

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  Direct Impact: Build AI solutions that improve global healthcare outcomes.

  
  


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  Cutting-Edge Technology: Work with LLMs and advanced AI/ML frameworks.

  
  


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  Meaningful Work: Solve complex, real-world healthcare challenges.

  
  


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  Full Lifecycle Ownership: From concept to deployment.

  
  


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  Career Growth: Supportive, learning-driven culture with global exposure.

  
  


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  Collaborative Environment: Inclusive team guided by the values of Caring, Connecting, and Growing Together.