AI Engineer - Bumrungrad International Hospital

• ·         Gather requirements from users and identify suitable AI, agentic, and automation use cases.

·         Design, develop, test, deploy, and maintain AI agents, workflow automation, AI enabled applications, and internal tools.
·         Integrate solutions with enterprise systems, APIs, databases, storage, document repositories, and collaboration platforms.
·         Apply good application design principles, including modular design, clear logic, error handling, security, scalability, and maintainability.
·         Use AI-assisted development or vibe coding tools when appropriate, while still understanding, reviewing, fixing, and maintaining the system properly.
·         Support AI/LLM and agentic capabilities such as prompt design, RAG, grounding, tool use, planning, workflow orchestration, evaluation, guardrails, and human-in-the-loop control.
·         Monitor, troubleshoot, document, and support AI/Agentic Platform solutions in development and production environments.

• ·         Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, IT, Data Science, or related field.

·         At least 3 years of experience in software development, cloud engineering, automation, data engineering, AI engineering, or related technical roles.
·         Strong understanding of AI, LLM, agentic AI, prompt engineering, RAG, AI agents, evaluation, guardrails, and AI application development.
·         Understanding of AI development/testing harnesses, prompt evaluation, regression testing, and quality measurement is preferred.
·         Hands-on programming experience with Python, JavaScript/TypeScript, C#, or similar languages.
·         Good understanding of APIs, authentication, backend/service development, databases, storage, and cloud platforms.
·         Able to communicate with both technical and non-technical users in Thai and English.
·         Strong problem-solving mindset, ownership, curiosity, and self-learning ability

Preferred Experience:

• ·         Experience building AI agents, chatbots, workflow automation, internal tools, or enterprise applications.

·         Experience with cloud services, serverless functions, API gateways, vector databases, search services, containers, or DevOps tools.
·         Experience with Databricks, data lakes, data pipelines, or lakehouse architecture.
·         Experience with Microsoft Copilot Studio, Azure AI Foundry, Azure OpenAI, Power Automate, SharePoint, Microsoft 365 integration, or similar platforms.
·         Knowledge of healthcare workflows, data privacy, security compliance, MLOps, LLMOps, monitoring, and production support.