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CoinMarketCap, acquired by Binance in 2020, is a leading cryptocurrency pricing and information platform that provides real-time data on over 2,000 cryptocurrencies. Headquartered in Dover, DE, CoinMarketCap serves millions of users globally, helping them navigate the volatile crypto market with acc...
CoinMarketCap offers flexible working hours, remote work options for many roles, and health insurance. Employees enjoy company-sponsored holidays, rel...
CoinMarketCap fosters a culture that values transparency and user empowerment in the rapidly changing cryptocurrency landscape. The company’s early en...

Coin Market Cap Ltd • Global
Coin Market Cap Ltd is seeking an AI Algorithm Engineer to develop advanced AI Agent systems for the Web3 industry. You'll work with technologies like Python, PyTorch, and TensorFlow to optimize RAG pipelines and implement LLM training. This role requires 3+ years of experience in AI systems development.
You have a Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field, and at least 3 years of experience developing AI systems, particularly focusing on RAG, Agent architectures, or LLM training and optimization. Your proficiency in Python and key ML frameworks such as PyTorch and TensorFlow is complemented by hands-on experience in distributed training and high-performance inference. You possess in-depth knowledge in at least two domains: end-to-end RAG pipeline development with OpenSearch or vector databases, AI Agent framework development using LangGraph, CrewAI, or ReAct, and advanced LLM training techniques like SFT, RLHF, and alignment. Your excellent problem-solving and systems thinking skills are matched by a passion for Web3 and AI.
In this role, you will architect and develop AI Agent systems that power intelligent search and task execution agents. You will optimize end-to-end RAG pipelines, refining systems from ingestion and chunking to embedding and hybrid vector search, ensuring precise grounding and citation. Your responsibilities will include conducting advanced post-training techniques and aligning models for reliable JSON-schema function calling and external tool usage. You will build offline and online evaluation pipelines using synthetic QA, retrieval metrics, and hallucination detection to continuously improve system performance and stability. You will collaborate with cross-functional teams to deliver high-accuracy, low-latency AI Agent systems that enhance Web3 applications. Your work will directly contribute to the continuous improvement of RAG retrieval accuracy and the establishment of robust AI systems.
At Coin Market Cap Ltd, you will be part of a forward-thinking team dedicated to building the most advanced AI solutions for the Web3 industry. We offer a collaborative work environment where innovation is encouraged, and your contributions will have a significant impact on the future of AI in this space. You will have opportunities for professional growth and development, working alongside experts in the field. We believe in fostering a culture of continuous learning and improvement, and we encourage you to apply even if your experience doesn't match every requirement. Join us in shaping the future of AI and Web3.
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