AI Systems Engineer

3 weeks ago


San Francisco, California, United States LOG10 LLC Full time

Log10 LLC is addressing the challenges around reliability and consistency of LLM-powered applications via a platform that provides AI-powered evaluations, fine-tuning, and debugging tools.

We are a team of experienced professionals having previously worked in AI and infra roles at companies such as Intel, MosaicML, Adobe, Docker, PostEra, Starburst, and Second Measure.

We are looking for a skilled ML Engineer to help build self-improving LLM applications.

You will work directly with the founders and the AI & engineering teams to make LLMs usable in many different professional scenarios.

Key Responsibilities:

  • Design and develop cloud-based workflows, data pipelines, and compute infrastructure for production AI workloads such as LLM inference, evaluation, and fine-tuning.
  • Evaluate cloud computing and AI SaaS providers to identify cost, accuracy, throughput, and latency trade-offs. Building systems that optimize for these parameters.
  • Develop and evaluate systems with multiple interconnected LLMs and data sources.
  • Stay abreast of emerging trends in AI, ML, and cloud technologies to continuously improve our systems.
  • Ensure compliance with data privacy and security protocols throughout the AI lifecycle.

Requirements:

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Experience with NLP/ML data pipelines and workflows.
  • Comfortable with Python, and Go.
  • Familiarity with prompt programming and large language models.
  • Contributions to open-source projects or published research in relevant fields.

We provide a competitive salary, equity, health/dental/vision insurance, and the chance to develop foundational systems that will redefine how companies build AI.


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