Senior AI

Job Title: Senior AI & Machine Learning Engineer

Relevant Experience: 5 years PLUS

Work Location: BGC

Shift: Day shift

Work Set-up: ON-SITE

Salary range: UP TO P170K

Headcount: 4 only

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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.

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.

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.

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