AI Engineer Intern - EDS

Globe Telecom, Inc.; Cebu City; On-site; PHP 156,000 - 246,000; Full time

Job summary

Globe Telecom, Inc. is seeking an AI Engineer Intern to design, prototype, and integrate AI solutions across internal systems and customer platforms. You will work on GenAI pipelines, retrieval-augmented generation, and vector storage under mentorship.

The role emphasizes practical AI engineering with Python, REST APIs, and modular code, delivered as end-to-end projects by month 4. Candidates should demonstrate fast learning and strong problem solving.

Qualifications

• Pursuing degree in Computer Science, AI, Data Science, or Software Engineering.
• Strong Python and ML basics with exposure to data processing.
• Familiarity with Git version control and REST APIs.
• Experience with Pandas/Numpy and basic AI frameworks is a plus.

Responsibilities

• Assist in prototyping and testing RAG pipelines and semantic search modules.
• Prepare data by cleaning, transforming, and indexing for embeddings and vector storage.
• Evaluate LLM outputs for relevancy and accuracy across revisions.
• Write clean Python code and REST API wrappers for reusable SDKs/microservices.
• Maintain documentation and Git/GitOps best practices.

Skills

Python

SQL

Pandas

Numpy

Git

REST API

Linux

LangChain

LlamaIndex

Async programming

Education

Bachelor's or graduating in CS/AI/Data Science/Software Engineering

Tools

Git

FastAPI

Flask

AWS

GCP

OpenAI API

Hugging Face

Docker

Job description

## AI Engineer Intern - EDSApply: 19F The Globe Tower: Full time: Posted Today: R0000021961At 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**The AI Engineer Intern will assist in designing, prototyping, and integrating Artificial Intelligence solutions across internal enterprise systems and customer-facing platforms. Moving beyond theoretical ML coursework, this role focuses on the practical mechanics of modern AI engineering: working with LLM orchestration frameworks, retrieval systems (RAG), vector storage, and data preparation pipelines under the direct mentorship of senior AI engineers**DUTIES AND RESPONSIBILITIES:** * **GenAI & Agent Pipeline Assistance:** Support senior engineers in prototyping and testing retrieval-augmented generation (RAG) pipelines, semantic search modules, and basic agentic workflows using frameworks like LangChain or LlamaIndex.* **Data Ingestion & Semantic Prep:** Clean, transform, and index structured and unstructured datasets for embedding generation, vector database storage, and semantic layer integration.* **Testing & Model Evaluation:** Conduct empirical evaluations of LLM outputs—measuring context relevancy, ground-truth alignment, and mitigation of hallucinations across model revisions.* **Integration & Reusable Code:** Write clean, modular Python code and REST API wrappers to package AI features into reusable SDKs or microservices.* **Documentation & Version Control:** Maintain code hygiene using Git/GitOps best practices and author clear technical documentation for architecture, API endpoints, and setup guides. **Deliverable/s:**Completion of a working, end-to-end module (e.g., a functional agent tool or optimized RAG index) presented to the CDA leadership team at the end of Month 4.**KPIs:** * **Technical Velocity & Autonomy:** Speed at which the intern transitions from requiring step-by-step guidance to independently taking on developer tickets and debugging pipelines.* **Code & Engineering Quality:** Consistency in Git workflows, code readability, unit testing, and adhering to enterprise engineering standards.* **Execution on AI Evaluation:** Ability to quantitatively measure model performance, prompt reliability, and output accuracy on assigned tasks. **SKILLS:** * Programming: Strong foundation in Python (OOP, async, data structures) and basic SQL* AI / GenAI Frameworks**:** Academic exposure to ML concepts, basic prompt engineering, and API usage (e.g., OpenAI, Hugging Face).* Data & Vector Prep: Experience with *pandas, numpy,* and parsing unstructured documents (PDFs, JSON, text)* Software Tools: Familiarity with **Git**, Linux command line, and REST API concepts (FastAPI/Flask).* Soft Skills & Aptitude: Rapid learning capability, structured problem-solving, curiosity, and attention to detail**COMPETENCIES:****Core:*** Problem-Solving: Strong analytical and problem-solving skills to identify and resolve issues. Ability to analyze complex problems, break them into smaller components and devise effective solutions using AI techniques. Analytical abilities to interpret data, identify patterns and make data-driven decisions.* Technical Expertise : Machine Learning and Deep Learning algorithms (regression, decision trees, neural networks) and libraries; Python, R, Java. Expertise in Data Analysis, statistical methods and data visualization tools; Software Engineering including but not limited to GitOps and CI/CD; Cloud Engineering and Computing (AWS, GCP, Redhat Openshift); Kubernetes, Containerization and Microservices.* Attention to Detail: High attention to detail to ensure code quality and functionality.**Support:*** Collaboration and Communication: Excellent collaboration and communication skills to work effectively with team members.* Adaptability: Ability to adapt to new technologies and tools quickly. Commitment to continuous learning and staying updated with the latest advancements in AI and machine learning* Time Management: Strong time management skills to handle multiple tasks and projects effectively.**HIRING REQUIREMENTS:** * Graduate or graduating senior in **Computer Science, Artificial Intelligence, Data Science, Software Engineering**, or related quantitative field* Knowledgeablein **Github profile*** Experienced in at least **one practical project involving Python and machine learning or GenAI** (e.g., custom RAG chatbot, API integration, data pipeline, or ML model assignment)