Artificial Intelligence Engineer

Overview

We are seeking a Mid-Level Artificial Intelligence Engineer to contribute to cutting-edge research and development projects aimed at creating next-generation developer tools. This role involves leading prototype designs for context-aware code generation, automatic debugging, and intelligent workspace features.

Key Duties and Responsibilities

• Lead R&D initiatives focused on innovative developer tools including proof-of-concept design for context-sensitive code generation and automated debugging features.
• Design, build, and optimize robust Retrieval-Augmented Generation (RAG) pipelines for enhancing information retrieval in conversational AI applications.
• Develop and deploy autonomous AI agents capable of managing multi-turn dialogues, performing complex tasks, and invoking tools based on user intents.
• Implement and maintain a Model Context Protocol to ensure seamless data exchange and standardized integration among AI systems, APIs, and databases.
• Manage and optimize vector databases with advanced indexing methods to improve storage and retrieval of contextual data.
• Fine-tune large language models (LLMs) applying sophisticated prompt engineering to tailor performance for specific product use cases.
• Deploy natural language processing (NLP), understanding (NLU), and generation (NLG) techniques such as sentiment analysis, entity recognition, and text generation to augment product features.
• Keep abreast of the evolving AI-powered developer tools landscape by practically implementing state-of-the-art machine learning research into production-grade solutions.
• Collaborate closely with product and engineering teams to translate AI research into scalable and practical applications.
• Provide technical pre-sales support by understanding client requirements, proposing solutions, presenting demos, preparing technical proposals, and assisting with RFI/RFP responses in partnership with the sales team.

Required Qualifications and Experience

• Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related technical discipline.
• At least three years of professional experience working as a machine learning engineer focused on conversational AI or NLP applications.
• Proven hands-on expertise in developing RAG models and working with vector database platforms such as Pinecone, Milvus, or Weaviate.
• Strong programming abilities in Python alongside proficiency in ML frameworks including PyTorch, TensorFlow, or JAX.
• In-depth knowledge of NLP principles and demonstrated experience deploying NLU and NLG techniques in live environments.
• Pragmatic problem-solving skills with the capability to independently design, troubleshoot, and scale robust ML systems.
• Excellent communication skills to convey complex technical information clearly to non-technical audiences and collaborate effectively within remote and cross-functional teams.
• Professional working proficiency in English is mandatory. Fluency in Mandarin and/or Cantonese is highly desirable due to close collaboration with our Hong Kong team.