全职 Artificial Intelligence Engineer 工作, 薪水, JP Caliber Selangor 公司招聘中 - Ricebowl

AI Engineer

Job Responsibilities:

· Research & Development: Conduct R&D activities to explore, prototype, and evaluate emerging AI technologies, techniques, and frameworks to inform product and engineering direction.

· Model Development & Ownership: Design, develop, and optimize robust RAG (Retrieval-Augmented Generation) pipelines to facilitate effective information retrieval in conversational AI systems.

· AI Agent Deployment: Build and deploy intelligent AI agents capable of handling multi-turn conversations, executing autonomous tasks, and managing tool invocation based on user intent.

· System Integration: Implement and maintain a Model Context Protocol to ensure seamless, standardized connectivity and data sharing between our AI systems, external APIs, and databases.

· Data Architecture: Manage and optimize vector databases and advanced indexing techniques to efficiently store and retrieve contextual data.

· LLM Optimization: Fine-tune large language models (LLMs) and apply advanced prompt engineering techniques to optimize for specific product use cases.

· NLP/NLU Implementation: Implement powerful NLP, NLU, and NLG techniques (sentiment analysis, entity recognition, text generation) to enhance product capabilities.

· Pre-Sales Support: Support technical pre-sales activities by engaging with customers, understanding business requirements, presenting AI solutions, conducting demonstrations, and preparing technical proposals.

· Continuous Improvement: Stay abreast of the latest ML and AI advancements, proactively suggesting new tools or frameworks to improve our tech stack.

· Cross-Functional Collaboration: Partner with product and engineering teams to translate AI capabilities into practical, scalable applications.

Job Requirements:

· Education: Degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

· Experience: 3+ years of industry experience in machine learning engineering, with a strong focus on building and deploying conversational AI or NLP solutions.

· Technical Expertise: Proven, hands-on experience developing RAG models, working with vector databases (e.g., Pinecone, Milvus, Weaviate), prompt engineering, and utilizing LLMs.

· R&D Exposure: Experience with R&D activities, AI prototyping, or proof-of-concept (POC) projects is highly preferred.

· Programming Skills: Strong, production-level programming skills in Python and proficiency with ML frameworks such as PyTorch, TensorFlow, or JAX.

· NLP Knowledge: Deep understanding of NLP fundamentals and practical experience deploying NLU/NLG techniques in production environments.

· Problem Solving: A pragmatic approach to system design, with the ability to independently troubleshoot and build scalable, robust ML systems.

· Pre-Sales/Client-Facing: Exposure to technical pre-sales, customer engagement, solution consulting, or AI solution demonstrations will be an added advantage.

· Communication: Strong ability to articulate complex technical concepts to non-technical stakeholders and collaborate effectively across remote and cross-functional teams.

· Language Skills: Professional working proficiency in English is required. Mandarin and/or Cantonese proficiency is required, as this role involves close coordination with our Hong Kong HQ on business and operational matters.