Job Title: Junior AI & Machine Learning Engineer 

Work Location: BGC

Shift: 4PM - 1AM

Work Set-up: ON SITE

Salary range: UP TO P130K

Headcount: 4 only 

As a Software Engineer on this team, you will be a key technical

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

 

WHAT WE'RE LOOKING FOR:

• Core Experience: 2-3+ years of professional software engineering experience with a

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

systems.

• AI/ML Expertise: 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 growth in software design, data

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

• Technical Breadth: Familiarity and hands-on experience with relevant technologies

such as backend services (e.g., Python/Node.js/Java/Go), 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.

>>> PRE-SCREENING QUESTIONS <<<

Do you have a Bachelor’s degree in Computer Science, Software Engineering, or a related field?

Do you have 3–5 years of hands-on experience with Java Spring Boot?

Do you have practical experience with ReactJS?

Have you worked across the full Software Development Lifecycle (SDLC)?

Do you have experience with REST APIs, MongoDB, and DevOps tools?

Have you led projects or mentored junior developers?

Are you familiar with cloud platforms (AWS, Azure, GCP), CI/CD pipelines, and containerization tools (Docker/Kubernetes)?

Do you have experience with SQL and/or NoSQL databases?