Principal Large Language Model Architect

Há 4 dias


Curitiba, Brasil Bebeeartificialintelligence Tempo inteiro

AI Engineer RoleWe are seeking an experienced AI engineer to spearhead the development and optimization of our large language model (LLM) powered user experience.This individual will work closely with our technical co-founder to design, build, and monitor agent systems that parse workout descriptions, provide scaling recommendations, and enable conversational data retrieval - all with production-grade accuracy and speed.Core Responsibilities:Own and improve the workout parsing system: enhance the fine-tuned model's accuracy in converting natural language workout descriptions into structured schemas.Design and implement workflows for workout scaling recommendations and performance tracking using LLMs.Benchmark observability workflows to identify and systematically address model performance issues.Optimize agent response latency while maintaining accuracy across our tool-based reasoning system.Collaborate on agent architecture decisions, including potential migration to frameworks like DSPy.Deploy production features: workout entry system, scaling recommendations, and score reporting.We Are Looking For:A seasoned ML/AI engineer with at least 5 years of experience, and 2+ years working with LLMs in production environments.Strong expertise in prompt engineering and model optimization techniques.Familiarity with building and deploying agent systems using various tools and functions.Demonstrated ability to use observability platforms to diagnose and improve model performance.Experience with model fine-tuning using different frameworks or approaches.Excellent Python programming skills.An active CrossFit participant with knowledge of standard movements and workout structures.Key Responsibilities Include



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