About the role
- 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.