Description

You will build and deploy on-premise Generative AI applications using open-source and proprietary large language models.

Responsibilities

• Develop GenAI applications following responsible AI practices, integrating vector databases, API endpoints, and document databases.
• Write Python code in Jupyter Notebooks for data preprocessing, feature extraction, and application orchestration.
• Configure LLM libraries for on-premise server environments and coordinate with IT teams to optimize components.
• Deploy and evaluate AI models and infrastructure while participating in Agile ceremonies.
• Maintain code repositories in GitHub and manage versioning for collaborative development.

Required Skills

• 5+ years of experience in software or AI engineering.
• Proficiency in Python and Jupyter Notebook.
• Hands-on experience with LangChain and vector databases.
• Working knowledge of GitHub and Docker containers.
• Understanding of NLP models, including embeddings and LLM inner workings.
• Ability to debug and evaluate GenAI model performance.
• Experience delivering AI or GenAI applications within large financial services organizations like banking or insurance.
• Familiarity with Agile methodologies.

Preferred Skills

• Degree in computer science, data science, analytics, or a similar discipline.

Key Skills

Education

Any Graduate