CoinMarketCap
AI/RAG engineer
CoinMarketCapUnited Arab Emirates1 day ago
Full-timeRemote FriendlyEngineering, Information Technology
Job Responsibilities

  • Building AI search agents- including ReAct, planning, and multi-agent architectures via custom implementation or frameworks like LangGraph, Dify, or CrewAI
  • Building end-to-end RAG pipelines from ingestion, chunking, embeddings, and hybrid vector search, ideally using Opensearch
  • Operating and monitoring vector/hybrid indexes (e.g. OpenSearch) in production environments
  • Implement grounding and citation to link generated answers back to their exact source passages
  • Automate evaluation using synthetic QA, retrieval-hit-rate tracking, and model-critique loops to continuously measure accuracy and detect drift
  • Orchestrating external tools or knowledge bases and monitoring latency and cost at production scale


Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field
  • 3+ years of experience in developing AI systems, with a focus on retrieval-augmented generation (RAG)
  • Proven track record in building and optimizing end-to-end RAG pipelines
  • Experience with AI search agent development using frameworks like ReAct, LangGraph, Dify, or CrewAI
  • Hands-on experience with OpenSearch or similar vector search technologies
  • Proficiency in Python and relevant machine learning frameworks (e.g., PyTorch, TensorFlow)
  • Strong understanding of data ingestion, chunking, embeddings, and hybrid vector search techniques
  • Experience with monitoring and managing production environments
  • Knowledge of grounding and citation techniques in AI-generated content
  • Familiarity with synthetic QA datasets and evaluation metrics

Key Skills

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