ai analyst backend bitcoin blockchain community manager crypto cryptography cto customer support dao 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 moderator nft node non tech open source openzeppelin pay in crypto product manager project manager react refi research ruby rust sales smart contract solana solidity truffle web3 py web3js zero knowledge
| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Coin Market Cap Ltd | Hong Kong, Hong Kong | $100k - $171k | |||
Binance | Taipei, Taiwan |
| |||
Binance | Taipei, Taiwan |
| |||
Pragmatike | Madrid, Spain | $122k - $156k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Binance | Taipei, Taiwan |
| |||
Tether | Sofia, Bulgaria | $90k - $125k | |||
Tether | Montevideo, Uruguay | $90k - $125k | |||
Tether | Rio De Janeiro, Brazil | $90k - $125k | |||
Tether | Medellin, Colombia | $90k - $125k | |||
Tether | Buenos Aires, Argentina | $90k - $125k | |||
Tether | Stockholm, Sweden | $90k - $125k | |||
Tether | Bucharest, Romania | $90k - $125k | |||
Tether | Lisboa, Portugal | $90k - $125k | |||
Tether | Warsaw, Poland | $90k - $125k | |||
Tether | Milan, Italy | $90k - $125k |
Coin Market Cap Ltd
$100k - $171k estimated
AI Algorithm Engineer (Agent Specialization)
Global / Hong Kong / Singapore / Dubai
CMC - Tech /
Full-time /
Remote
Apply for this job
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
Apply for this job
What an AI Developer does?
An AI developer is someone who creates and builds artificial intelligence systems
Their responsibilities may include designing and implementing algorithms, creating and training machine learning models, and deploying AI systems to solve practical problems
Additionally, they may be responsible for maintaining and improving existing AI systems, as well as collaborating with other teams or individuals to integrate AI technology into larger systems.