Remote AI/RAG engineer

Description:

• The position involves building AI search agents, including ReAct, planning, and multi-agent architectures through custom implementation or frameworks like LangGraph, Dify, or CrewAI.
• Responsibilities include constructing end-to-end retrieval-augmented generation (RAG) pipelines from ingestion, chunking, embeddings, and hybrid vector search, ideally using OpenSearch.
• The role requires operating and monitoring vector/hybrid indexes in production environments.
• Implementing grounding and citation to link generated answers back to their exact source passages is a key task.
• The engineer will automate evaluation using synthetic QA, retrieval-hit-rate tracking, and model-critique loops to continuously measure accuracy and detect drift.
• Orchestrating external tools or knowledge bases while monitoring latency and cost at production scale is also part of the job.

Requirements:

• A Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field is required.
• Candidates must have 3+ years of experience in developing AI systems, specifically focusing on retrieval-augmented generation (RAG).
• A proven track record in building and optimizing end-to-end RAG pipelines is essential.
• Experience with AI search agent development using frameworks like ReAct, LangGraph, Dify, or CrewAI is necessary.
• Hands-on experience with OpenSearch or similar vector search technologies is required.
• Proficiency in Python and relevant machine learning frameworks such as PyTorch or TensorFlow is mandatory.
• A strong understanding of data ingestion, chunking, embeddings, and hybrid vector search techniques is needed.
• Experience with monitoring and managing production environments is important.
• Knowledge of grounding and citation techniques in AI-generated content is required.
• Familiarity with synthetic QA datasets and evaluation metrics is necessary.

Benefits:

• The position offers the flexibility of remote work, allowing employees to work from various global locations including Hong Kong, Kuala Lumpur, London, Penang, Singapore, and Taipei.
• Employees will have the opportunity to work on cutting-edge AI technologies and frameworks.
• The role provides a chance to contribute to innovative projects in the field of AI and machine learning.
• There may be opportunities for professional development and growth within the company.