AI Engineer

Job Title: ​AI Engineer

Location: Singapore

We’re looking for a passionate AI Engineer to lead the design, development, and deployment of LLM-powered applications and enterprise AI solutions.

 

 Key Responsibilities:

• Design and deploy scalable GenAI systems using AWS Bedrock, Sagemaker, GCP Vertex AI, and Azure Document Intelligence.
• Build and optimize RAG (Retrieval-Augmented Generation) pipelines to improve information accuracy and latency.
• Implement advanced prompt engineering, LLMOps, and use frameworks like LangChain, GuardRails, DeepEval, and Function Calling to monitor and evaluate LLM outputs.
• Develop conversational agents and chatbots with multi-modal input processing (PDF, DOCX, CSV).
• Utilize Python, Java, and JavaScript to build REST APIs and robust backend systems.
• Perform data wrangling and feature engineering with SQL, Pandas, NumPy, and visualize insights.
• Work with Airflow, Git, Jupyter, and BigQuery for pipeline automation and scalable model inferencing.
• Fine-tune NLP models and apply transformer-based architectures for sentiment analysis and classification.
• Collaborate with cross-functional teams including product, design, and operations to deliver impactful AI features.

Key Requirements:

Overall 10Years of Total Experience

• Strong hands-on experience for about 7+Years in AI/ML, with proven track record in Generative AI applications.
• Strong hands-on expertise with AWS/GCP/Azure, including LLM deployment and model monitoring.
• Proficiency in Python, with exposure to Java, JavaScript, and scripting languages.
• Experience in building and evaluating chatbots, automated search systems, and data pipelines.
• Familiarity with OpenAI GPT models, Anthropic Claude, Whisper, Huggingface, and Stability AI.
• Strong knowledge of regulatory data protection and model governance is a plus.