Fullstack Developer (AI)

Globe Telecom; Taguig; On-site; PHP 558,000 - 892,800; Full time

Job summary

Globe Telecom is seeking an AI Full Stack Developer to create comprehensive applications blending AI capabilities with user interfaces.

The role entails building responsive front-ends and robust back-ends, ensuring seamless AI integration across various platforms. Ideal candidates should possess 3–5 years of Full Stack experience, including AI products. A Bachelor's degree in Computer Science or Software Engineering is required.

This position is based in Taguig, Metro Manila and offers opportunities for diverse collaboration.

Qualifications

• 3–5 years in Full Stack Development with 1–2 years in AI-integrated products.
• Experience in implementing Web/Mobile App Projects, vendor coordination, and Testing Automation.
• Basic knowledge of project management discipline.

Responsibilities

• Build responsive front-end interfaces for AI applications.
• Implement RAG architectures and connect LLMs to data sources.
• Create APIs that bridge front-end and back-end components.

Skills

React.js

Python (FastAPI/Flask)

LangChain

PostgreSQL

Basic knowledge of DevOps Tools

Education

Bachelor’s degree in Computer Science or Software Engineering

Tools

Google Kubernetes Engine

JIRA

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

Responsibilities

• 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

Technical Stack:

• Front-end: React.js, Next.js, or Vue.js; Tailwind CSS
• Back-end: Python (FastAPI/Flask) or Node.js.
• AI/ML: LangChain, LlamaIndex, OpenAI SDK, and basic knowledge of PyTorch/TensorFlow.
• Databases: PostgreSQL, and Vector DBs like Pinecone, Weaviate, or Chroma.
• Cloud Infrastructure: Google Kubernetes Engine, Cloud Functions, DFCX

• Experience: 3–5 years in Full Stack Development with at least 1–2 years specifically focused on AI-integrated products.
• Education: Bachelor’s degree in Computer Science or Software Engineering.
• More than 3-year experience on IT and Telco industry
• At least 3-year experience in implementing Web/Mobile App Projects
• At least 3-year experience in 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.