AI Engineer - LLM

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 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.

(ref : hirist.tech)