AI (LLM) Engineering Intern at Stimuler

Responsibilities:

1. Creating and connecting AI agents to simulate various real-life scenarios.
2. Designing, testing, and refining a variety of dynamic prompt-engineering (Few-Shot, CoT, ToT etc) that engage our users and aid their language learning journey.
3. Adaptors (LoRA) to improve the functioning of LLMs at various downstream tasks.
4. Improving the pipeline of Data-Flywheel from the Proprietary Datasets to improve the precision of the Assessment Engine.

Requirements:

1. Strong Foundations in Backend Engineering(Python)
2. Proficiency in Natural Language Processing (NLP)
3. Demonstrable understanding of Large Language Models (LLMs), prompt-engineering. (Techniques like LoRA are a plus)
4. Excellent communication and team collaboration skills
5. Able to take initiative and work independently, but also a team player ready to collaborate with colleagues
6. Eager to learn, grow, and face new challenges in a dynamic startup environment, comfortable with a fast-paced, iterative design environment