Yishun - Artificial Intelligence (AI) Engineer

apartmentCOMBUILDER PTE LTD placeYishun calendar_month3/6/25

Responsibilities:

Design, develop, and deploy enterprise Generative AI (GenAI) solutions using AWS Bedrock, Sagemaker, GCP Vertex AI, and Azure Document Intelligence.
Build and optimize RAG (Retrieval-Augmented Generation) pipelines to enhance response accuracy and reduce latency.
Implement and monitor LLMOps using tools like LangChain, GuardRails, DeepEval, and Function Calling.
Develop advanced prompt engineering strategies and implement fine-tuned conversational agents and chatbots.
Process and manage multi-modal inputs (PDF, DOCX, CSV) for AI-powered information retrieval and dialogue systems.
Build scalable backend components and REST APIs using Python, Java, and JavaScript.
Perform data wrangling, feature engineering, and visualization using SQL, Pandas, NumPy, and other tools.
Utilize Airflow, Git, Jupyter, and BigQuery for workflow automation and large-scale model inference.
Fine-tune transformer-based NLP models for applications like sentiment analysis, classification, and entity recognition.
Collaborate with product, design, and operations teams to deliver production-ready AI features and solutions.

Requirements:

Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.
If required, must be able to work on weekend or public holidays for deployment to production server and cut over activities
10 years of overall engineering experience with at least 7 years in Artificial Intelligence(AI)/Machine learning (ML) development.
Proven experience in Generative AI application development and deployment.
Strong hands-on experience with Large Language Model (LLM) platforms (e.g., OpenAI GPT, Anthropic Claude, Huggingface, Stability AI).
Proficiency in Python and exposure to Java and JavaScript for full-stack development.
Expertise in cloud platforms (AWS, GCP, Azure) with a focus on model training, deployment, and monitoring.
Experience building and evaluating chatbots, automated search systems, and data pipelines.
Knowledge of regulatory compliance, data protection, and model governance is a strong plus.
Strong analytical skills with a creative, solution-oriented mindset.

Preferred Tools & Technologies:

Frameworks & Libraries: LangChain, DeepEval, GuardRails, Transformers (Huggingface)
Cloud & Infra: AWS Bedrock, Sagemaker, GCP Vertex AI, Azure OpenAI, BigQuery
DevOps & Pipelines: Airflow, Git, Jupyter
Languages: Python (primary), Java, JavaScript
Others: Whisper, OpenAI Function Calling, SQL, Pandas, NumPy

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