AI Engineer

Responsibilities

• Design, experiment, and implement AI solutions (e.g., RAG chatbots, document processing, and data transformation) on the EDMS platform.

• Develop and optimise Retrieval Augmented Generation (RAG) pipelines including chunking, embeddings, vector search, and prompt engineering.

• Integrate AI models with EDMS data pipelines for structured data ingestion, cleansing, and database write-back.

• Conduct model evaluation, monitor accuracy, and perform fine-tuning using feedback logs and performance metrics.

• Collaborate with data engineers, product owners, and business users to translate use cases into scalable AI features.

• Document AI solution designs, RAG workflows, data flows, and deployment considerations across development stages.

Requirements

• Hands-on experience with Generative AI, Large Language Models (LLMs), and RAG-based architectures.

• Proficiency in Python and AI/ML libraries for NLP, embeddings, and vector databases.

• Experience working with data platforms, data pipelines, and cloud-based AI environments.

• Strong analytical and problem-solving skills with a hands-on, experimental mindset.

• Good teamwork, interpersonal, and communication skills.

• Good verbal and written communication skills in English

1 year contract (Jul 2026 to Jun 2027)

42 hours per week

** We regret to inform only shortlisted candidates will be notified.