Job Description
* 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
Required Skills & Experience
* 3-5+ Years of Hands on LLM Development, API Programming experience
* 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
Nice to Have Skills & Experience
* Strong familiarity with Agile methodologies and practices for efficient project delivery
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.