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.
Full Stack Engineer
October 2, 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
• Lead design and development of a GraphQL API to replace existing REST endpoints • Scale backend to handle growing data volumes from customer LLM applications • Optimize data flows and caching between S3, PostgreSQL, and Redis • Build workflows and infrastructure for prompt engineering and fine-tuning • Work cross-functionally to identify and improve pain points in our stack • Contribute to architecture decisions, guide technical roadmap
🎯 Requirements
• 5+ years experience designing and operating production systems • Deep expertise with GraphQL schemas, resolvers, Apollo/Relay • Experience with PostgreSQL, Redis and AWS services • Comfortable with Python, Node.js, and Go • Strong grasp of distributed computing fundamentals • Self-directed and enthusiastic about solving complex problems • Nice to have: Experience with NLP/ML data pipelines and workflows • Familiarity with prompt programming and large language models • Background in machine learning infrastructure
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