Sr. Engineer - Generative AI

Responsibilities

Develop on-premise GenAI applications, leveraging open-source or proprietary large language models (LLMs) and following responsible AI practices
Write Python code in Jupyter Notebook for data preprocessing, feature extraction, API calls, and application orchestration
Integrate GenAI application components like vector databases, API endpoints, document databases, and other endpoints for full end-to-end solution
Configure LLM libraries for use on on-premise servers
Coordinate with IT Technology Team to troubleshoot and optimize application components
Maintaining code repositories in GitHub, ensuring proper versioning and collaboration
Deploy and evaluate AI models and related infrastructure
Actively participate in Agile ceremonies and collaborate with cross-functional teams, providing regular updates to the Product Owner

Qualifications

Degree in computer science, data science, analytics, or similar discipline
Working knowledge of Python NLP/LLM libraries, GitHub, Jupyter Notebook, vector databases, API endpoints, and containerization
Previous experience delivering AI or GenAI applications within a large financial services organization (i.e., banking or insurance)
Basic understanding of NLP models, including a key concepts like embeddings and the inner workings of LLMs
Demonstrated ability to debug and evaluate the performance of GenAI models
Strong familiarity with Agile methodologies and practices for efficient project delivery