Log10.io
Log10. io is a platform focused on enhancing AI accuracy, particularly for large language models (LLMs), in high-stakes, regulated industries such as healthcare, finance, insurance, and law. The company offers solutions for AI accuracy assurance, scalability, and real-time error detection, empowering developers to deploy trusted AI systems in sensitive environments. Log10. io's platform integrates advanced monitoring, feedback, and evaluation tools to ensure AI models achieve production-level accuracy while maintaining compliance with data privacy and industry regulations.
Frontend Engineer
September 26, 2024
Log10.io
Log10. io is a platform focused on enhancing AI accuracy, particularly for large language models (LLMs), in high-stakes, regulated industries such as healthcare, finance, insurance, and law. The company offers solutions for AI accuracy assurance, scalability, and real-time error detection, empowering developers to deploy trusted AI systems in sensitive environments. Log10. io's platform integrates advanced monitoring, feedback, and evaluation tools to ensure AI models achieve production-level accuracy while maintaining compliance with data privacy and industry regulations.
📋 Description
• Develop and enhance features for Log10's monitoring, analytics, and optimization dashboards using React and Next.js • Build visualizations for key metrics like usage, latency, errors, and drift • Integrate with backend services to fetch and display data related to model queries, responses, and evaluations • Implement responsive design best practices for cross-device experiences • Participate in code reviews, troubleshooting, and improving frontend architecture
🎯 Requirements
• Experience building complex data-driven web apps with React and REST or GraphQL APIs • Strong proficiency in HTML, CSS, TypeScript, and frontend build tools • Passion for creating smooth, user-centric web experiences • Ability to iterate quickly in a collaborative, agile environment • Nice to have: Experience with AI/ML products, services, and workflows • Familiarity with LLM applications and challenges LLM developers face • Knowledge of monitoring and analytics tools
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