全职 AI Engineer 工作, 薪水 up to SGD 4,920, RAPSYS TECHNOLOGIES PTE. LTD. Islandwide (Singapore) 公司招聘中 - Ricebowl

Your roles and responsibilities include:

• Collaborating with business users to understand their key priorities and use cases
• Proposing and developing solutions using data science and/or generative AI techniques to drive
• business value
• Working directly on building EDB’s portfolio of deployed AI applications and data science
• models, including our in-house agentic platform
• Researching emerging AI/data science techniques and identifying relevant ones for EDB to
• explore and adopt (e.g., agentic, LLM, predictive, fraud/anomaly detection, text analytics,
• Customer Segmentation)
• Data wrangling & analysis—preprocessing, cleaning, and feature engineering
• Developing backend APIs and services to support AI model deployment and integration
• Building frontend interfaces and user experiences for AI-powered applications
• Reviewing and implementing fixes for reported security vulnerabilities

JOB REQUIREMENTS

To perform this role, you must have/ be:

• Minimum of Bachelor’s Degree in Computer Science, Computer Engineering, or Machine Learning
• / Data Science / AI or related disciplines;
• Experience in cloud platforms and services, preferably in AWS
• Understanding of LLM concepts (e.g., context windows, embeddings, chunking, token
• management) and architectures (e.g., RAG), including knowledge of vector databases and
• embedding techniques
• Experience with harness engineering, context engineering techniques, and prompt optimization
• strategies
• Understanding of AI agent frameworks and multi-agent systems (e.g., LangChain, LangGraph,
• DeepAgents)
• Experience with web frameworks and full-stack development, including backend frameworks (e.g., FastAPI, Flask, Express.js) and RESTful API development, and frontend technologies (e.g., React, Vue.js, HTML/CSS, TypeScript)
• Experience in Docker/Kubernetes for deploying production-grade applications
• Proficient in Git, SQL, and modern programming languages (e.g., TypeScript, C#)
• Proficient in business intelligence tools (e.g., Tableau, Qlik, MS Power BI, Microstrategy)
• Strong presentation skills and ability to explain technical concepts clearly to a non-technical audience