Key Responsibilities
- Design and implement LLM-powered agents to automate business workflows, including document handling and stakeholder communication
- Develop conversational interfaces over structured and unstructured data for non-technical users to query operational data in plain English
- Integrate external data sources (commodity markets, regulatory filings) into internal tools and reporting workflows
- Collaborate with domain experts to translate technical requirements into agent behavior and retrieval pipelines
- Contribute to a shared Python codebase with object-oriented modules for process modeling and data transformation
- Participate in sprint reviews and stakeholder demos, iterating rapidly based on user feedback
Requirements
- Currently enrolled in a BS (junior/senior) or MS program in Computer Science, Data Science, Software Engineering, Applied Mathematics, or related field
- Experience shipping projects with LLMs, agents, or data pipelines
- Proficiency in Python and object-oriented programming
- Familiarity with natural language processing and prompt engineering
- Ability to collaborate with cross-functional teams and iterate based on feedback