Fullstack Developer (AI)
- Compensation
- Not disclosed
- Location
- Philippines
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 1+ years
- Category
- Fullstack
- Posted
Skills
Must have
- 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)
Full 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.
Job Description 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.
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