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| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Coin Market Cap Ltd | Hong Kong, Hong Kong | $100k - $171k | |||
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Alpaca | Remote | $87k - $109k | |||
Shakepay | Montreal, Canada | $180k - $240k |
Coin Market Cap Ltd
$100k - $171k estimated
AI Algorithm Engineer (Agent Specialization)
Global / Hong Kong / Singapore / Dubai
CMC - Tech /
Full-time /
Remote
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Job Introduction
We are building the most advanced AI Agent for the Web3 industry, leveraging the largest proprietary dataset in the field. We seek a core algorithm engineer to architect AI Agent systems, optimize end-to-end RAG pipelines, implement LLM training/alignment, and deploy scalable.
Core Responsibilities
1. Develop AI Agent Systems: Build intelligent search and task execution agents using ReAct, planning, and multi-agent frameworks (e.g., LangGraph, Dify, CrewAI)
2. Optimize End-to-End RAG Pipelines: Build and refine efficient RAG systems from ingestion, chunking, and embedding to hybrid vector search (OpenSearch), implementing precise grounding and citation
3. LLM Training & Alignment: Conduct advanced post-training (SFT, RLHF, continual pretraining) and align models for reliable JSON-schema function calling and external tool usage
4. Automated Evaluation & Iteration: Build offline/online evaluation pipelines using synthetic QA, retrieval metrics, and hallucination detection to continuously improve system performance and stability
Qualifications
1. Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field
2. 3+ years of experience developing AI systems, with a focus on RAG, Agent architectures, or LLM training/optimization
3. Proficiency in Python and key ML frameworks (PyTorch/TensorFlow), with experience in distributed training and high-performance inference
4. Hands-on, in-depth experience in at least two of the following domains:
• End-to-end RAG pipeline development and optimization with OpenSearch/vector databases
• AI Agent framework development (LangGraph, CrewAI, ReAct)
• Advanced LLM training (SFT, RLHF, LoRA) and alignment techniques
5. Excellent problem-solving and systems thinking skills. Passion for Web3 and AI is a plus
Key Outcomes
• Deliver a high-accuracy, low-latency AI Agent system to power intelligent Web3 applications
• Achieve continuous improvement in RAG retrieval accuracy and establish an automated evaluation and iteration loop
• Drive LLM performance optimization
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What does a React developer in web3 do?
A React developer in the context of web3 is a developer who is using the React JavaScript library to build user interfaces for decentralized applications (dApps) that run on the Ethereum blockchain
These dApps often use smart contracts to facilitate transactions and other interactions on the Ethereum network
Overall, the role of a React developer in web3 involves using your skills in React development to help build cutting-edge decentralized applications that leverage the power of the Ethereum blockchain
As a React developer in web3, some of your responsibilities might include:
- Integrating the dApp with the Ethereum blockchain. This might involve using tools like web3.js and Ethers.js to connect to the Ethereum network and interact with smart contracts.
- Building the user interface for a dApp using React. This could involve creating components for the various elements of the dApp, such as buttons, forms, and other input elements.
- Implementing features that are specific to decentralized applications, such as handling cryptocurrency transactions and displaying data from the blockchain in a user-friendly way.
- Collaborating with other members of the development team, such as blockchain engineers and designers, to ensure that the dApp functions properly and meets the needs of the end users.