About the company
CoinMarketCap is the worldās 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
Job Responsibilities
š Building AI search agents- including ReAct, planning, and multi-agent architectures via custom implementation or frameworks like LangGraph, Dify, or CrewAI. šOperating and monitoring vector/hybrid indexes (e.g. OpenSearch) in production environments. š Implement grounding and citation to link generated answers back to their exact source passages. šAutomate evaluation using synthetic QA, retrieval-hit-rate tracking, and model-critique loops to continuously measure accuracy and detect drift. šOrchestrating external tools or knowledge bases and monitoring latency and cost at production scale.
Qualifications
š Bachelorās or Masterās degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. š 3+ years of experience in developing AI systems, with a focus on retrieval-augmented generation (RAG). š Proven track record in building and optimizing end-to-end RAG pipelines. š Experience with AI search agent development using frameworks like ReAct, LangGraph, Dify, or CrewAI. š Proficiency in Python and relevant machine learning frameworks (e.g., PyTorch, TensorFlow). š Strong understanding of data ingestion, chunking, embeddings, and hybrid vector search techniques.
The future of finance is here ā whether youāre interested in blockchain, cryptocurrency, or remote web3 jobs, thereās a perfect role waiting for you.
