Responsibilities
- Stay up to date with core concepts, architectures, and advancements in large language models.
- Gain knowledge of transformer-based models, prompt engineering techniques, and fundamental model optimization strategies.
- Investigate emerging LLM functionalities and frameworks with direction from senior team members.
- Interpret academic research papers and technical documentation related to AI and machine learning.
- Assist in designing AI-driven solutions to address business challenges using LLMs.
- Develop proof-of-concept implementations to explore and validate solution approaches.
- Create prototypes of LLM-powered applications using current development frameworks.
- Run comparative experiments to assess different technical methods and implementations.
- Work alongside team members and learn from domain specialists.
- Write clear, maintainable code in alignment with team-defined standards and best practices.
- Build workflows powered by large language models using orchestration tools such as LangChain or LangGraph.
- Implement LLM features including basic prompt design, API integrations, and structured data generation.
- Develop working systems that interface with LLM APIs.
- Take part in code review processes and apply feedback to improve code quality.
- Refactor code for improved readability and basic performance efficiency.
- Set up small-scale experiments to test hypotheses and track outcomes.
- Assess model outputs and system behavior using predefined evaluation metrics.
- Focus on improving prompts and explore elementary fine-tuning methods.
- Perform data analysis and apply statistical tests to interpret results.
Other
- The company is an equal opportunity employer and considers all qualified applicants fairly, without discrimination based on race, color, religion, sex, sexual orientation, disability, veteran status, or other protected attributes.
- AI tools may be used during hiring to assist with resume screening or response evaluation, but human reviewers make all final hiring decisions.
- For questions about how applicant data is handled, individuals may reach out directly for more information.