Senior AI and Machine Learning Engineer

Job Title: Senior AI & Machine Learning Engineer

Relevant Experience: 5 years

Work Location: BGC, Taguig

Shift: Day shift

Work Set-up: ON-SITE

Salary range: PHP 170,000

Headcounts: 6

WHAT WE'RE LOOKING FOR:

• Core Experience: 5+ years of professional software engineering experience with a

significant focus on building and deploying production-grade AI/ML models and

systems.

• AI/ML Expertise: Deep understanding of core AI and machine learning concepts,

models, and algorithms, demonstrated through practical application and system

design. Ability to explain complex ideas clearly.

• Strong Engineering Fundamentals: Proven ability in software design, data

structures, algorithms, and writing clean, testable, and maintainable code.

• Technical Breadth: Deep familiarity and hands-on experience with relevant

technologies such as backend services (e.g., ), cloud

platforms (AWS/GCP/Azure), front-end frameworks (e.g., React Native helpful),

CI/CD pipelines, REST/WebSocket API development, and database technologies.

• Broad ML Domain Knowledge: Practical experience or strong knowledge in various

machine learning domains such as Natural Language Processing (NLP), Computer

Vision, Personalization & Recommendation systems, and/or Anomaly Detection.

• LLM Experience: Hands-on experience building applications leveraging LLMs and

deploying them into a production environment (considering aspects like

performance, cost, reliability, monitoring).

• Adaptability & Learning Agility: Proven ability to quickly learn new technologies

and methodologies, comfortable working on tasks requiring exploration and tackling

ambiguity.

• Ownership & Drive: You are self-driven, take immense pride in your technical

contributions, proactively tackle problems, own features end-to-end, and find

satisfaction in building impactful solutions.

• Inherent Curiosity: You possess a strong desire to understand *how* and *why*

things work, driving you to build better, more efficient systems.

About the Team

The Consumer Engineering (CE) team is responsible for building all consumer-facing

experiences. We are expanding our capabilities to power the next generation of AI-driven

consumer experiences that surprise and delight. We plan to achieve this by building

innovative new platforms, frameworks, and solutions designed to make healthcare easy

and personalized. As a Senior Software Engineer on this team, you will be a key technical

contributor, designing and building the core AI/ML systems that drive these experiences.

Key Challenges

• Simplifying Healthcare Complexity: Apply your engineering skills and AI/ML

techniques to build systems that navigate the intricate healthcare landscape,

making it easier for millions of users to access care.

• Building Scalable AI Systems: Design, implement, and deploy robust, production-

grade AI solutions capable of handling large volumes of data and user interactions

within our consumer-facing applications.

• Driving Rapid Innovation: Implement and experiment with new AI advancements

(like LLMs) to solve real-world healthcare problems effectively and ethically,

contributing practical solutions.

• Cross-Functional Integration: Build and integrate AI capabilities seamlessly into

broader consumer experiences, collaborating effectively with product, design, and

fellow engineers.

WHAT YOU'LL DO:

• Take ownership of designing, developing, testing, deploying, and maintaining

machine learning models and AI-powered systems (including LLM-based

applications) for consumer-facing platforms.

• Participate actively in the full AI lifecycle: contributing to brainstorming and

conceptualization, rapid prototyping and experimentation, and writing high-quality,

robust production code.

• Contribute significantly to the architecture, implementation, and management of

cloud infrastructure for AI solutions, utilizing Infrastructure as Code principles for

reliable deployments.

• Design and build reusable AI/ML platforms, components, and frameworks to

accelerate innovation and improve engineering efficiency across the Consumer

Engineering team.

• Provide technical guidance and mentorship to junior engineers through code

reviews, design discussions, and knowledge sharing. Lead by example in technical

best practices.

• Collaborate closely with product managers, designers, and other engineers to

understand requirements, refine technical approaches, and deliver scalable,

impactful AI solutions.

• Stay current with the latest advancements in AI/ML and software engineering,

evaluate new technologies, and propose innovative ways to tackle healthcare

challenges.

• Troubleshoot complex technical issues, identify root causes, and implement

effective solutions in both development and production environments.

• Contribute to a team culture focused on technical excellence, continuous learning,

and curiosity.

EDUCATION:

Bachelor's degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience.

NICE-TO-HAVEs:

• Experience building large-scale, consumer-facing applications.

• Experience working within the healthcare industry or another regulated

environment.

• Contributions to relevant open-source projects or building any demo-worthy side

projects and SaaS products

WHAT MAKES THIS ROLE SPECIAL:

• Direct Impact: Your work directly contributes to improving health outcomes and

simplifying the healthcare experience for millions of people.

• Meaningful Challenges: Tackle complex, intellectually stimulating problems at the

intersection of AI and healthcare.

• Cutting-Edge Technology: Be at the forefront of applying advanced AI/ML, including

LLMs, to build next-generation consumer experiences.

• Full Lifecycle Ownership: Opportunity to work across the entire AI lifecycle, from

initial idea to production deployment and iteration.

• Growth & Development: Join a supportive team within a large organization that

offers comprehensive benefits, career development pathways, and a culture

focused on learning.

• Collaborative Culture: Work alongside diverse, talented peers in an inclusive

environment guided by principles of Caring, Connecting, and Growing together.

• Mission-Driven:Contribute to advancing health equity on a global scale as part of a

leading healthcare organization.

Interested and qualified Candidates should send their CV to