Fullstack Developer AI

Globe Telecom; Taguig; On-site; PHP 600,000 - 1,000,000; Full time

Job summary

Globe Telecom is seeking a Full Stack Developer (AI) to bridge model development and production applications in Manila. You will build responsive front-ends and robust back-ends, integrating AI features across the stack and ensuring scalable, user-friendly experiences.

The role emphasizes AI integration, API design, and end-to-end product realization, with participation in cross-functional planning and DevOps/MLOps lifecycle oversight.

Qualifications

• 3+ years in Full Stack Development with AI product focus.
• Experience building AI-enabled web apps and APIs.
• Familiarity with DevOps/MLOps practices.

Responsibilities

• End-to-End development of AI-enabled front-end and back-end.
• Integrate AI features with RAG and real-time data sources.
• Design REST/GraphQL bridges for UI and ML models.
• Turn AI models into production-ready apps.
• Collaborate in cross-functional planning and reviews.
• Oversee DevOps/MLOps lifecycle best practices.
• Manage code repos, API optimization, cloud resources, CI/CD, and data pipelines.

Skills

React.js

Next.js

Vue.js

Tailwind CSS

Python (FastAPI/Flask)

Node.js

LangChain

OpenAI SDK

PyTorch/TensorFlow

GKE / Cloud Functions

Tools

PostgreSQL

Pinecone

Weaviate

Chroma

Job description

Job Description

At Globe, our goal is to create a wonderful world for our people, business, and nation. By uniting people of passion who believe they can make a difference, we are confident that we can achieve this goal.

Enables tight integration between application layers and machine learning models This role is responsible for building both the "brain" (AI models/logic) and the "body" (user interface and APIs) of an application, ensuring that AI features are not just functional but seamlessly interconnected into the user experience.

The Full Stack Developer (AI) operates across the full application stack, bridging model development and application production deployment, with an emphasis on scalability, integration, and usability.

• End-to-End Development: Building responsive front-end interfaces that interact with sophisticated AI back-end, MCP Fulfilment Servers and Knowledge Management System
• AI Integration: Implementing RAG (Retrieval-Augmented Generation) architectures and connecting LLMs to real-time data sources.
• API Design: Creating the bridges (REST/GraphQL) that allow front-end components to communicate with ML models.
• Product Realization: Taking a raw AI model and turning it into a polished, user-facing software product.
• Participate in cross-functional brainstorming, strategic planning and business review sessions
• Oversee best practices implemented during the entire DevOps/MLOps LifeCycle
• Managed Resources like Code Repositories, API Optimization, Cloud Resources, CI/CD and Data Pipeline

NATURE OF PROBLEMS ENCOUNTERED

• Latency Management: Solving the "slow AI" problem—ensuring users aren't left waiting while a model processes a complex request.
• Prompt Engineering vs. UI: Aligning the "hidden" logic of an AI prompt with the visible inputs provided by a user.
• State Management: Handling the complex states of an AI conversation (memory, context windows, and history).
• Intermittent Failures: Debugging non-deterministic errors where an AI model provides a different (or wrong) output for the same input.

Requirements

Must Have the following tech stack experience:

• Front-end: React.js, Next.js, or Vue.js; Tailwind CSS
• Back-end: Python (FastAPI/Flask) or Node.js
• Databases: PostgreSQL, and Vector DBs like Pinecone, Weaviate, or Chroma.

Familiarity with

• AI/ML: LangChain, LlamaIndex, OpenAI SDK, and basic knowledge of PyTorch/TensorFlow.
• Cloud Infrastructure: Google Kubernetes Engine, Cloud Functions, DFCX

Experience

• More than 3-year experience on IT and Telco industry
• 3–5 years in Full Stack Development with at least 1–2 years specifically focused on AI-integrated products
• At least 3-year experience in implementing Web/Mobile App Projects, coordinating and managing vendors
• At least 1-year experience in Testing Automation
• Basic knowledge on project management discipline
• Basic knowledge of DevOps Tools (CI/CD, Terraform, JIRA, Confluence)

KEY OUTPUTS

• Application Proof of Concepts and Prototypes that will improve customer experience through AI features and capabilities
• Functional AI Web Applications: Production-ready applications where AI is a core feature (e.g., an intelligent dashboard or an AI-driven SaaS tool).
• Integrated API Layers: Scalable middleware that handles prompt engineering, token management, and model inference.
• Responsive UI/UX: User interfaces specifically designed for AI interactions (e.g., streaming text responses, multimodal inputs, and feedback loops).
• Optimized Vector Databases: Efficiently indexed data storage for fast context retrieval in AI applications.
• Technical Documentation: Comprehensive guides for the application’s architecture, including API schemas and deployment procedures.

Equal Opportunity Employer

Globe’s hiring process promotes equal opportunity to applicants, Any form of discrimination is not tolerated throughout the entire employee lifecycle, including the hiring process such as in posting vacancies, selecting, and interviewing applicants.

Globe’s Diversity, Equity and Inclusion Policy Commitment can be accessed here.

Make Your Passion Part of Your Profession.

Attracting the best and brightest Talents is pivotal to our success.

If you are ready to share our purpose of Creating a Globe of Good, explore opportunities with us.