AI Engineer

About the Role

We're looking for an AI Engineer to design, build, and maintain our organization's AI systems — from understanding business requirements to deploying models into production. You'll work with cutting-edge AI technology, including Generative AI, LLMs, and full-scale Machine Learning systems, and play a direct role in transforming how our organization works through technology.

Key Responsibilities

AI / Machine Learning Development

• Design and develop AI solutions such as chatbots, automated document analysis systems, prediction systems, computer vision, or recommendation systems based on business needs
• Build applications on Generative AI / LLM foundations, such as RAG (Retrieval-Augmented Generation), AI agents, and integrations with leading model APIs (OpenAI, Anthropic, Gemini, etc.)
• Perform data preparation, feature engineering, model training / fine-tuning, and model evaluation

Deployment & MLOps

• Develop prototypes / POCs and drive them into fully functional production systems
• Build and maintain pipelines for training, deploying, and monitoring models
• Integrate AI systems with existing organizational systems via APIs and other integrations

Quality & Safety Assurance

• Monitor and continuously improve model performance (accuracy, latency, cost)
• Design systems in line with Responsible AI principles, data security, and PDPA compliance
• Prepare technical documentation for developed systems

Cross-functional Collaboration

• Analyze workflows with various departments to identify opportunities to improve efficiency with AI
• Communicate technical concepts clearly to non-technical stakeholders
• Provide guidance and knowledge-sharing on AI to the team

Qualifications

• Bachelor's degree or higher in Computer Engineering, Computer Science, Data Science, or a related field
• 2–5 years of experience in AI/ML development or software development
• Experience shipping AI systems to production is a strong plus

Technical Skills

• Python (required), SQL — JavaScript/TypeScript is a plus
• AI/ML frameworks: PyTorch or TensorFlow, scikit-learn, Hugging Face
• Generative AI: LLM APIs, LangChain/LlamaIndex, RAG, prompt engineering, vector databases (pgvector, Pinecone, Qdrant)
• Cloud & infrastructure: AWS / Azure / GCP, Docker — Kubernetes and CI/CD experience is a plus
• Basic data management and ETL, comfortable working with databases

Soft Skills

• Strong problem-solving and systematic thinking
• Able to communicate technical ideas clearly to general audiences
• Comfortable reading technical documentation in English (English communication skills are a plus)
• Fast learner, able to adapt quickly as AI technology evolves

Why Join Us

This isn't just a coding role — you'll help shape how AI is actually used across the organization. You'll get to experiment, make decisions, and see your work create real business impact.