Artificial Intelligence Engineer

JP Caliber; Puchong; On-site; MYR 120,000 - 180,000; Full time

Job summary

JP Caliber is seeking an experienced Machine Learning Engineer to lead RAG-based development, build scalable retrieval systems, and deploy AI agents for multi-turn conversations. You will collaborate with product and engineering to translate AI capabilities into practical solutions, leveraging Python and major ML frameworks.

The role requires English as working language and proficiency in Mandarin and/or Cantonese for coordination with our Hong Kong HQ, with a strong emphasis on production-ready

Qualifications

• Degree in CS/AI/ML or related field.
• 3+ years in machine learning engineering focusing on conversational AI or NLP.
• Hands-on experience developing RAG models and using vector databases.

Responsibilities

• Lead R&D on AI technologies to inform product direction.
• Design, develop, and optimize RAG pipelines for effective retrieval in conversations.
• Build and deploy AI agents for multi-turn conversations and tool invocation.

Skills

RAG model development

Python programming

NLP/NLU/NLG understanding

Communication with stakeholders

Pre-sales/client-facing experience

Education

Degree in Computer Science, Artificial Intelligence, Machine Learning, or related field

Tools

PyTorch

TensorFlow

JAX

Pinecone

Milvus

Weaviate

Job description

· 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.