Full Stack Developer - AI

Globe Telecom — Philippines · Posted ~4 days ago

Full-time

Skills

Full-stack development AI integration Frontend development Backend development API development Machine learning integration RAG Application deployment Scalability System integration AI APIs MCP Knowledge Management Systems

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Summary ✨ AI‑Generated

Join a team building end-to-end AI applications that connect sophisticated models with intuitive user experiences. You will develop responsive frontends, APIs, and backend services, implement retrieval-augmented generation, integrate AI systems, and ensure scalable, production-ready applications.

Highlights

Build end-to-end AI applications spanning responsive user interfaces, APIs, and intelligent backend services. The role combines full-stack engineering with modern AI integration, RAG architectures, scalability, and production deployment.

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. 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 SystemAI 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 sessionsOversee best practices implemented during the entire DevOps/MLOps LifeCycleManaged 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 CSSBack-end: Python (FastAPI/Flask) or Node.jsDatabases: 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 industry3–5 years in Full Stack Development with at least 1–2 years specifically focused on AI-integrated productsAt least 3-year experience in implementing Web/Mobile App Projects, coordinating and managing vendorsAt least 1-year experience in Testing AutomationBasic knowledge on project management disciplineBasic 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 capabilitiesFunctional 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.