About the company
CoinMarketCap is the world’s most trusted and accurate source of data for cryptocurrencies. Used by millions of individuals, organizations, and exchanges, CoinMarketCap brings the most up-to-date market capitalizations, pricing, and cryptocurrency information to our users. Pulling data from multiple exchanges and combining our robust research allows us to provide the most realistic representation of each cryptocurrency. As we grow, we will continue to provide access to our data wherever, whenever, and however is most helpful to our users.
Job Summary
Core Responsibilities
đź“Ť Develop AI Agent Systems: Build intelligent search and task execution agents using ReAct, planning, and multi-agent frameworks (e.g., LangGraph, Dify, CrewAI) đź“ŤOptimize 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 đź“Ť LLM Training & Alignment: Conduct advanced post-training (SFT, RLHF, continual pretraining) and align models for reliable JSON-schema function calling and external tool usage đź“Ť Automated Evaluation & Iteration: Build offline/online evaluation pipelines using synthetic QA, retrieval metrics, and hallucination detection to continuously improve system performance and stability
Qualifications
đź“ŤBachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field đź“Ť 3+ years of experience developing AI systems, with a focus on RAG, Agent architectures, or LLM training/optimization đź“Ť Proficiency in Python and key ML frameworks (PyTorch/TensorFlow), with experience in distributed training and high-performance inference
If you’re passionate about blockchain and decentralized technologies, explore more opportunities in web3 and cryptocurrency careers.
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