Job Description

  • 5-7 years of strong technical background, including a deep understanding of AI concepts and methodologies.
  • >=2 years hands on experience with LLM (commercial and open source), LangChain, LlamaIndex, agentic AI, Retrieval Augmented Generation, and Vector Databases
  • Experience with graph databases (Neo4J and Cypher would be a big plus
  • Programing languages such as Python and Java and familiarity with libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, Scipy, Pandas, etc
  • Solid understanding of experimental design, hypothesis testing, and casual inference methods
  • Experience working with agile methodologies and tools.
  • A passion for innovation and a desire to push the boundaries of AI.
  • Financial industry experience would be a plus.

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