Ai Web3 Jobs in Hong Kong
15 jobs found
ai analyst backend bitcoin blockchain community manager crypto cryptography customer support data science defi design developer relations devops discord economy designer entry level erc erc 20 evm front end full stack gaming ganache golang hardhat intern java javascript layer 2 marketing mobile nft node non tech pay in crypto product manager project manager react research ruby rust sales smart contract solana solidity truffle web3js zero knowledge
| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Coin Market Cap Ltd | Hong Kong, Hong Kong | $92k - $117k | |||
Crypto.com | Hong Kong, Hong Kong | $105k - $120k | |||
Bitfinex | Hong Kong, Hong Kong | $79k - $79k | |||
Bitfinex | Hong Kong, Hong Kong | $77k - $79k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Crypto.com | Hong Kong, Hong Kong | $86k - $97k | |||
Crypto.com | Hong Kong, Hong Kong | $121k - $135k | |||
Animoca Brands Limited | Hong Kong, Hong Kong | $72k - $115k | |||
Animoca Brands Limited | Hong Kong, Hong Kong | $105k - $118k | |||
Bitfinex | Hong Kong, Hong Kong | $123k - $180k | |||
Bitfinex | Hong Kong, Hong Kong | $81k - $97k | |||
Crypto.com | Hong Kong, Hong Kong | $126k - $127k | |||
OKX | Hong Kong, Hong Kong | $126k - $127k | |||
CoinDesk | Hong Kong, Hong Kong | $126k - $127k | |||
Crypto.com | Hong Kong, Hong Kong | $54k - $62k | |||
Crypto.com | Hong Kong, Hong Kong | $91k - $105k |
Coin Market Cap Ltd
$92k - $117k estimated
AI/RAG engineer
Global / Hong Kong / Kuala Lumpur / London / Penang / Singapore / Taipei
CMC /
Full-time /
Remote
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Job Responsibilities
1. Building AI search agents- including ReAct, planning, and multi-agent architectures via custom implementation or frameworks like LangGraph, Dify, or CrewAI.
2. Building end-to-end RAG pipelines from ingestion, chunking, embeddings, and hybrid vector search, ideally using Opensearch.
3. Operating and monitoring vector/hybrid indexes (e.g. OpenSearch) in production environments.
4. Implement grounding and citation to link generated answers back to their exact source passages.
5. Automate evaluation using synthetic QA, retrieval-hit-rate tracking, and model-critique loops to continuously measure accuracy and detect drift.
6. Orchestrating external tools or knowledge bases and monitoring latency and cost at production scale.
Qualifications
1. Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
2. 3+ years of experience in developing AI systems, with a focus on retrieval-augmented generation (RAG).
3. Proven track record in building and optimizing end-to-end RAG pipelines.
4. Experience with AI search agent development using frameworks like ReAct, LangGraph, Dify, or CrewAI.
5. Hands-on experience with OpenSearch or similar vector search technologies.
6. Proficiency in Python and relevant machine learning frameworks (e.g., PyTorch, TensorFlow).
7. Strong understanding of data ingestion, chunking, embeddings, and hybrid vector search techniques.
8. Experience with monitoring and managing production environments.
9. Knowledge of grounding and citation techniques in AI-generated content.
10. Familiarity with synthetic QA datasets and evaluation metrics.
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