Company & Role Summary
UltreonAI is an AI Design Studio, at the forefront of designing and deploying custom Agentic AI solutions specifically tailored to enhance the efficiency and competitiveness of Singaporean SMEs. Our mission is to move businesses beyond traditional systems by implementing smart, context-aware AI agents.
This role offers a unique opportunity to be a foundational part of this mission. The AI Data Specialist (Trainee) will play a critical, hands‑on role in the most challenging phase of AI deployment: making client data AI‑ready. You will directly support the design and deployment lifecycle of our custom solutions, ensuring that the legacy data systems of our SME clients are successfully transformed and integrated into modern, high‑performance AI architectures.
Key Responsibilities
Your primary focus will be on the vital task of preparing and migrating client data to enable the functionality of our Agentic AI solutions.
- Legacy Data Migration: Serve as the primary driver for migrating clients' legacy data systems (e.g., outdated databases, file shares) into structured, modern formats suitable for AI consumption.
- Data Understanding & Schema Design: Collaborate with the Senior Data Engineer (AI) and clients to perform deep data profiling, understand existing data models, and design optimized target schemas for new AI‑centric databases.
- AI Data Readiness: Prepare, clean, and pre‑process unstructured and structured data specifically for use with Large Language Models (LLMs), including text chunking and metadata generation.
- Vector Database Integration: Convert, index, and load data into Vector Databases to support Retrieval‑Augmented Generation (RAG) architectures, enabling semantic search and context retrieval for our custom AI agents.
- Documentation: Maintain meticulous documentation of data sources, migration logic, schema definitions, and data quality checks.
Technical Skills & Qualifications
Required Technical Competencies
- Programming & Automation: Proficiency in Python / JavaScript and standard data manipulation libraries, particularly Pandas, NumPy. Comfortable writing code to solve repetitive data problems across multiple languages and platforms.
- Database: Strong command of SQL for complex database querying, manipulation, and effective schema design. Understanding of relational database
- Cloud Awareness: Basic understanding of Cloud Concepts like managed databases, object storage, and cloud services is helpful.
- Connectivity: Experience with API integration (REST/SOAP) to connect and ingest data from various client systems and third‑party tools.
- Technical Foundations: Basic usage of Git/Github for version control as well as familiarity with Linux Environment.
Good To Have
- Workflow Automation Tools: Experience with workflow automation tools (n8n, Zapier, Make)
Education & Background
- Currently pursuing or recently graduated with a Bachelor's degree in Computer Science, Data Science, Information Systems, or a related technical field.
Benefits / What You'll Gain
This internship is designed to be a high‑impact, skill‑accelerating experience:
- Full AI Solution Lifecycle Exposure: Gain practical, end‑to‑end experience in custom AI deployment, moving beyond theoretical models to live, production‑ready systems.
- In‑Demand Technologies: Hands‑on work with cutting‑edge technologies like RAG Architecture and Vector Databases, essential skills for the future of AI engineering.
- Real‑World Impact: Directly contribute to the success of live Singapore SME projects, solving tangible business problems with advanced data and AI techniques.
- Mentorship: Direct mentorship and guidance from a Senior Data Engineer (AI), providing a clear path to understanding best practices in data engineering for modern AI.
Application Details
- Work Arrangement: This role requires a hot‑desking commitment of up to 3 days per week at our Singapore office to facilitate close collaboration with the engineering team.
- We Welcome: Applications from enthusiastic Undergraduates seeking a challenging internship, and Fresh Graduates looking for their first impactful role in AI.
Join us to turn messy, legacy data into the fuel for the next generation of business intelligence and Agentic AI!