AI Engineer and Data Specialist

Key Responsibilities Build and improve AI-powered features in ooca’s products and internal tools using LLM APIs and machine learning, including prompt and system-message design, tool-calling flows, and context-enrichment logic. Translate product and clinical requirements into clear technical specifications with defined inputs, outputs, constraints, and evaluation metrics for AI and data features. Develop and maintain non-LLM machine learning models (e.g. scoring, classification, prediction) in Python (e.g. scikit-learn), including dataset preparation (selection, cleaning, transformation, organisation) and supporting labelling with domain experts. Run offline experiments with proper train/validation/test splits, track model and feature performance, and document results, limitations, and recommendations. Collaborate with backend engineers to deploy and integrate AI models and components into production systems, and monitor their behaviour in production to refine prompts, models, configurations, and fallback logic. Perform day-to-day analytics on key product and operational questions (user behaviour, utilisation patterns, feature performance) using SQL to extract, join, and aggregate data from product, EMR, and operational databases. Build and maintain dashboards (e.g. Looker Studio, Metabase, Power BI, Tableau) for leadership KPIs, product and growth metrics, and AI/automation monitoring, and present insights clearly for non-technical stakeholders. Identify repetitive manual tasks in operations, clinic workflows, support, and reporting, and implement and maintain light automations using Python, Google Sheets/Apps Script, APIs, or workflow tools (e.g. n8n, Zapier, Make). Work with the engineering team to keep data tables, events, and pipelines usable and consistent for analytics and AI use cases, help define tracking requirements for new features, and support basic data quality checks. Collaborate with product managers and clinical leads to turn use cases into well-scoped AI and data tasks, document AI feature designs, data logic, dashboards, and automation workflows, and communicate progress, issues, and risks professionally to the Head of Tech and relevant stakeholders. Required Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, Statistics, or related field; or equivalent practical experience. 1–3 years of experience in a data / AI / analytics / software role, or strong project portfolio demonstrating equivalent capability (strong fresh graduates will be considered if portfolio is solid).

Practical proficiency in Python for:

Data handling (e.g. pandas, basic NumPy) Calling APIs and working with JSON Writing small scripts/services

• Practical proficiency in SQL (e.g. MySQL, PostgreSQL) for querying, joining, and aggregating data.
• Experience with at least one BI / dashboarding tool (Looker Studio, Metabase, Power BI, Tableau, or similar).
• Hands-on experience using LLM / AI APIs in projects (personal, academic, or production), not only theoretical knowledge.
• Ability to structure problems, work independently on tasks, and deliver within agreed timelines.
• Ability to communicate clearly in Thai, with working proficiency in English for tools, documentation, and some communication.

Health Insurance

• Work from home (Required to work at the office or on-site as needed for meetings, event organization, or content production.)

Annual Leave 12 days Mental Health counseling sessions with psychiatrists and psychologists through ooca platform Social Security Insurance Provident Fund (condition applied) Annual Health check-up (condition applied) Special discount home loan interest with Government Housing Bank BYOD policy: Personal laptops less than 3 years old are eligible for 1000 THB/month subsidy (registration required)