ThirdLaw Molecular
ThirdLaw Molecular is a pioneering biotechnology company that has developed a groundbreaking platform utilizing Spiroligomer™ molecules for targeted drug discovery and diagnostics. Founded by Dr. Christian Schafmeister, the company focuses on creating a new class of therapeutics that are safer and more effective by employing a unique chemical platform for the design of synthetically engineered molecules. Their innovative approach enables highly selective binding to proteins, enhancing the potential for both drug therapies and diagnostic applications.
AI Engineer
February 4
ThirdLaw Molecular
ThirdLaw Molecular is a pioneering biotechnology company that has developed a groundbreaking platform utilizing Spiroligomer™ molecules for targeted drug discovery and diagnostics. Founded by Dr. Christian Schafmeister, the company focuses on creating a new class of therapeutics that are safer and more effective by employing a unique chemical platform for the design of synthetically engineered molecules. Their innovative approach enables highly selective binding to proteins, enhancing the potential for both drug therapies and diagnostic applications.
📋 Description
• As enterprises integrate LLMs into their existing applications, traditional observability tools fall short. • We empower IT and Security teams with the tools to answer the foundational question; "Is this OK?". • This role is responsible for selecting, deploying, and monitoring Large Language Models (LLMs) and ML models. • You will develop software that supports continuous LLM evaluation and observability.
🎯 Requirements
• Experience building production-quality ML and AI systems. • Proven experience deploying and monitoring large language models (e.g., Llama, Mistral, etc.). • Solid understanding of real-time data processing and monitoring tools for model drift and data validation. • Strong programming skills in Python and familiarity with API-based model serving. • Experience with LLM management and optimization platforms (e.g., LangChain, Hugging Face). • Familiarity with data engineering pipelines for real-time input-output logging and analysis. • Clear ability to own features and products from start to finish.
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