AI/ML Engineer - LLM Models

Key Responsibilities

- Prompt Engineering & Finetuning : Drive the optimization of LLM performance through advanced prompt tuning and finetuning techniques.

- Model Integration : Develop and manage invocation calls from our application to various AI models, ensuring seamless integration.

- Response Evaluation : Design and implement robust methods for evaluating model responses to guarantee quality, accuracy, and relevance.

- User Experience (UX) Improvement : Proactively refine AI interactions and outputs to continuously improve the overall user experience.

- Platform Development : Build applications and solutions that integrate with Google technologies like BigQuery, GCP, and Cloud Run.

Requirements

- Experience : 5+ years of relevant experience is preferred, but we will consider exceptional candidates with less experience.

- LLM Expertise (Mandatory) : Proven expertise in LLM finetuning, prompt tuning, and model invocation.

- Independence : Must be a self-starter with the ability to work independently and take full ownership of tasks.

- Immediate Availability : This is an immediate-joiner position